Table of contents
  1. Story
    1. Dedicated to Dr. George Strawn, Director, National Coordination Office/NITRD (USA)​
    2. President Obama Discovers Big Data in 2009
    3. Background
  2. The Federal Big Data Initiative:​ Where it has been and where it is going
    1. Abstract​
    2. I. Background​
    3. II. Semantic Community
    4. III. The Federal Big Data Working Group Meetup
    5. IV. Examples For Ten Senior Government People
    6. V. Example of a Data Publication in a Data Browser​
      1. Fig. 1 Spotfire Dashboard of NSF BIG DATA Funding​
      2. Fig. 2. Spotfire Dashboard of Climate Change: Grid Projections-Average A2 SRES Scenario
    7. VI. You Can Participate​
    8. VII. Summary and Conclusions​
    9. Acknowledgement​
    10. References​
    11. Tables
      1. Table 1. The Federal Big Data Initiative: Where it has been and where it is going
      2. Table II. Federal Big Data Working Group Meetup
      3. Table III. Examples of Data Publications in Data Browsers for Senior Government People​
  3. Slides
    1. Slide 1 The Federal Big Data Initiative: Where it has been and where it is going
    2. Slide 2 Keynote and Panel: COM.BigData 2014
    3. Slide 3 Abstract
    4. Slide 4 President Obama Discovers Big Data in 2009
    5. Slide 5 The Federal Big Data Initiative: Where it has been and where it is going
    6. Slide 6 Semantic Community
    7. Slide 7 Three Examples in Paper and Examples for 10 Senior Government People
    8. Slide 8 You Can Participate
    9. Slide 9 NITRD FASTER
    10. Slide 10 NSF Funding for Big Data and Data Science
    11. Slide 11 NSF BIG DATA Funding Dashboard
    12. Slide 12 NSF Grant Proposal Guide and Semantic Community Proposal
    13. Slide 13 NSF FastLane Submittal Sheet
    14. Slide 14 Federal Big Data Working Group Meetup
    15. Slide 15 Agenda
    16. Slide 16 Mission Statement
    17. Slide 17 What Are We Doing?
    18. Slide 18 How Are We Doing  It?
    19. Slide 19 Data FAIRPort
    20. Slide 20 Fourth Paradigm and Fourth Question
    21. Slide 21 Activities
    22. Slide 22 June 30th Meetup: Continue Data Science Tutorial
    23. Slide 23 Practical Data Science for Data Scientists
    24. Slide 24 Follow Ben Shneiderman's 8 Golden Rules of Data Science
    25. Slide 25 Dr. George Strawn, Director, National Coordination Office/NITRD (USA)
    26. Slide 26 Data FAIRPort Conference Interview Innovation International
    27. Slide 27 The Federal Big Data Working Group Panel
    28. Slide 28 The Federal Big Data Working Group Activities
  4. Slides
    1. Slide 1 Big Data and NITRD
      1. Slide 2 Caveat auditor
      2. Slide 3 Outline
    2. Slide 4 What is NITRD?
      1. Slide 5 NITRD and the NCO
      2. Slide 6 NITRD Member Agencies
      3. Slide 7 NITRD PCAs
      4. Slide 8 NITRD SSGs
      5. Slide 9 FY 2012 Budget Estimates
    3. Slide 10 USG and Data
    4. Slide 11 Big Data
      1. Slide 12 Why now for Big Data?
      2. Slide 13 Volume: big data requires big computing
      3. Slide 14 Volume: big data requires new database architectures
      4. Slide 15 Velocity: fast big data
      5. Slide 16 Variety: diverse big data
    5. Slide 17 NITRD’s Big Data Initiative
      1. Slide 18 Core Technologies
      2. Slide 19 Domain Research Data
      3. Slide 20 Activities
      4. Slide 21 Next NITRD Steps
      5. Slide 22 Statistics and Big Data
      6. Slide 23 What the future may hold
  5. Spotfire Dashboard
  6. Spotfire Screen Captures
    1. Cover Page
    2. IEEE Explore Exports
  7. Questions
    1. Question: Can I Use the 2013 IEEE Taxonomy?
    2. Question: Can I reuse the 3M+ entries in the IEEE Xplore digital library?
    3. Question: Should all those PDF files be converted to MindTouch?
    4. Question: What is the IEEE and the IEEE Xplore Digital Library?
    5. Answer: The Best Way to Get BIG DATA is By Starting Small
    6. Answer: I Am Going to Submit a Paper
  8. Emails
    1. Invitation to Keynote at COM.BigData 2014, COM.Geo 2014, COM.DriverlessCar 2014 in Washington DC in August
    2. Response 1
    3. Response 2
    4. Response 3
    5. Response 4
    6. Response 5
  9.  Call for Papers  2014 IEEE International Conference on Big Data
  10. IEEE Authorship Series How to Write for Technical Periodicals & Conferences
    1. Section 1 introduction
    2. Section 2 Before You Begin
      1. Conducting Your Literature Search
        1. IEEE Xplore® Digital Library
        2. Bibliographic Databases
        3. Your Institution’s Library
        4. References and Citations
          1. Citation Map from IEEE Xplore
        5. Taking Notes and Keeping Track
      2. Next Steps
        1. Draft an Outline
    3. Section 3 Ethics in Scientific Publishing
      1. Who is an Author?
      2. Proper Citation of Original Work
        1. Plagiarism
          1. IEEE Recognizes Five Degrees of Plagiarism:
        2. Redundant Publication
        3. Copyright
      3. Fabrication of Data
    4. Section 4 Select an Appropriate Format
      1. Conference or Periodical?
      2. Full Length, Original Research
      3. Conference Articles
      4. Reviews
      5. Letters
    5. Section 5 Selecting where to submit
      1. Selecting a Periodical
      2. Selecting a Conference
      3. Open Access Journals
        1. Open Access Models
          1. Green open access
          2. Gold open access
          3. Hybrid open access
        2. Open Access Publishing at IEEE
          1. IEEE Hybrid Journals
          2. Fully Open Access Journals
          3. IEEE Photonics Journal
          4. IEEE Access™
    6. Section 6 Developing your manuscript
      1. Author Responsibilities
      2. The First Draft
      3. Where to Begin Writing
      4. Sections
        1. Title and Index Terms
        2. Abstracts
        3. Introduction and Published Research
        4. Problem Formulation and Results
        5. Conclusion
        6. Illustrations
        7. References
        8. Authorship Footnote, Acknowledgements, and Author Bibliography
      5. Formatting Your Article
        1. Follow the Instructions for Authors
        2. LaTeX vs. Word
        3. IEEE Templates
    7. Section 7 Improving and Revising
      1. How to Revise
      2. Polishing
        1. Making Your Article Interesting to Read
        2. Syntax
          1. Introductory phrases
          2. Subjects and verbs must agree
          3. Misplaced and dangling modifiers
        3. Use Words Carefully and Correctly
        4. Punctuation
        5. Measurements and Numbers
      3. Tips for Non-English Speakers
      4. Internal Review
    8. Section 8 Submissions
      1. Cover Letter
        1. Your cover letter should include
      2. Journal Submissions
      3. Conference Submissions
    9. Section 9 Peer Review
      1. How Peer Review Works
        1. A reviewer will evaluate your article to determine:
      2. Review Outcomes
        1. Here are some reasons for rejection
      3. Response Letter and Article Revision
      4. If Your Article is Rejected
        1. Peer Review—An Editor’s Perspective
    10. Section 10 The Final Steps
      1. Reviewing Page Proofs
        1. Page Charges, Reprints, Open Access Fees
      2. Publication
      3. Discoverability of Your Article
        1. Abstracting and Indexing Services
        2. Your Article on IEEE Xplore
        3. What You Can Do
    11. Section 11 APPENDIX
      1. Online Resources for Authors
    12. References
      1. [1]
      2. [2]
      3. [3]
      4. [4]
      5. [5]
      6. [6]
      7. [7]
      8. [8]
      9. [9]
      10. [10]
      11. [11]
      12. [12]
      13. [13]
      14. [14}
    13. Back Cover Page
  11. NEXT

Data Science for COM.BigData 2014

Last modified
Table of contents
  1. Story
    1. Dedicated to Dr. George Strawn, Director, National Coordination Office/NITRD (USA)​
    2. President Obama Discovers Big Data in 2009
    3. Background
  2. The Federal Big Data Initiative:​ Where it has been and where it is going
    1. Abstract​
    2. I. Background​
    3. II. Semantic Community
    4. III. The Federal Big Data Working Group Meetup
    5. IV. Examples For Ten Senior Government People
    6. V. Example of a Data Publication in a Data Browser​
      1. Fig. 1 Spotfire Dashboard of NSF BIG DATA Funding​
      2. Fig. 2. Spotfire Dashboard of Climate Change: Grid Projections-Average A2 SRES Scenario
    7. VI. You Can Participate​
    8. VII. Summary and Conclusions​
    9. Acknowledgement​
    10. References​
    11. Tables
      1. Table 1. The Federal Big Data Initiative: Where it has been and where it is going
      2. Table II. Federal Big Data Working Group Meetup
      3. Table III. Examples of Data Publications in Data Browsers for Senior Government People​
  3. Slides
    1. Slide 1 The Federal Big Data Initiative: Where it has been and where it is going
    2. Slide 2 Keynote and Panel: COM.BigData 2014
    3. Slide 3 Abstract
    4. Slide 4 President Obama Discovers Big Data in 2009
    5. Slide 5 The Federal Big Data Initiative: Where it has been and where it is going
    6. Slide 6 Semantic Community
    7. Slide 7 Three Examples in Paper and Examples for 10 Senior Government People
    8. Slide 8 You Can Participate
    9. Slide 9 NITRD FASTER
    10. Slide 10 NSF Funding for Big Data and Data Science
    11. Slide 11 NSF BIG DATA Funding Dashboard
    12. Slide 12 NSF Grant Proposal Guide and Semantic Community Proposal
    13. Slide 13 NSF FastLane Submittal Sheet
    14. Slide 14 Federal Big Data Working Group Meetup
    15. Slide 15 Agenda
    16. Slide 16 Mission Statement
    17. Slide 17 What Are We Doing?
    18. Slide 18 How Are We Doing  It?
    19. Slide 19 Data FAIRPort
    20. Slide 20 Fourth Paradigm and Fourth Question
    21. Slide 21 Activities
    22. Slide 22 June 30th Meetup: Continue Data Science Tutorial
    23. Slide 23 Practical Data Science for Data Scientists
    24. Slide 24 Follow Ben Shneiderman's 8 Golden Rules of Data Science
    25. Slide 25 Dr. George Strawn, Director, National Coordination Office/NITRD (USA)
    26. Slide 26 Data FAIRPort Conference Interview Innovation International
    27. Slide 27 The Federal Big Data Working Group Panel
    28. Slide 28 The Federal Big Data Working Group Activities
  4. Slides
    1. Slide 1 Big Data and NITRD
      1. Slide 2 Caveat auditor
      2. Slide 3 Outline
    2. Slide 4 What is NITRD?
      1. Slide 5 NITRD and the NCO
      2. Slide 6 NITRD Member Agencies
      3. Slide 7 NITRD PCAs
      4. Slide 8 NITRD SSGs
      5. Slide 9 FY 2012 Budget Estimates
    3. Slide 10 USG and Data
    4. Slide 11 Big Data
      1. Slide 12 Why now for Big Data?
      2. Slide 13 Volume: big data requires big computing
      3. Slide 14 Volume: big data requires new database architectures
      4. Slide 15 Velocity: fast big data
      5. Slide 16 Variety: diverse big data
    5. Slide 17 NITRD’s Big Data Initiative
      1. Slide 18 Core Technologies
      2. Slide 19 Domain Research Data
      3. Slide 20 Activities
      4. Slide 21 Next NITRD Steps
      5. Slide 22 Statistics and Big Data
      6. Slide 23 What the future may hold
  5. Spotfire Dashboard
  6. Spotfire Screen Captures
    1. Cover Page
    2. IEEE Explore Exports
  7. Questions
    1. Question: Can I Use the 2013 IEEE Taxonomy?
    2. Question: Can I reuse the 3M+ entries in the IEEE Xplore digital library?
    3. Question: Should all those PDF files be converted to MindTouch?
    4. Question: What is the IEEE and the IEEE Xplore Digital Library?
    5. Answer: The Best Way to Get BIG DATA is By Starting Small
    6. Answer: I Am Going to Submit a Paper
  8. Emails
    1. Invitation to Keynote at COM.BigData 2014, COM.Geo 2014, COM.DriverlessCar 2014 in Washington DC in August
    2. Response 1
    3. Response 2
    4. Response 3
    5. Response 4
    6. Response 5
  9.  Call for Papers  2014 IEEE International Conference on Big Data
  10. IEEE Authorship Series How to Write for Technical Periodicals & Conferences
    1. Section 1 introduction
    2. Section 2 Before You Begin
      1. Conducting Your Literature Search
        1. IEEE Xplore® Digital Library
        2. Bibliographic Databases
        3. Your Institution’s Library
        4. References and Citations
          1. Citation Map from IEEE Xplore
        5. Taking Notes and Keeping Track
      2. Next Steps
        1. Draft an Outline
    3. Section 3 Ethics in Scientific Publishing
      1. Who is an Author?
      2. Proper Citation of Original Work
        1. Plagiarism
          1. IEEE Recognizes Five Degrees of Plagiarism:
        2. Redundant Publication
        3. Copyright
      3. Fabrication of Data
    4. Section 4 Select an Appropriate Format
      1. Conference or Periodical?
      2. Full Length, Original Research
      3. Conference Articles
      4. Reviews
      5. Letters
    5. Section 5 Selecting where to submit
      1. Selecting a Periodical
      2. Selecting a Conference
      3. Open Access Journals
        1. Open Access Models
          1. Green open access
          2. Gold open access
          3. Hybrid open access
        2. Open Access Publishing at IEEE
          1. IEEE Hybrid Journals
          2. Fully Open Access Journals
          3. IEEE Photonics Journal
          4. IEEE Access™
    6. Section 6 Developing your manuscript
      1. Author Responsibilities
      2. The First Draft
      3. Where to Begin Writing
      4. Sections
        1. Title and Index Terms
        2. Abstracts
        3. Introduction and Published Research
        4. Problem Formulation and Results
        5. Conclusion
        6. Illustrations
        7. References
        8. Authorship Footnote, Acknowledgements, and Author Bibliography
      5. Formatting Your Article
        1. Follow the Instructions for Authors
        2. LaTeX vs. Word
        3. IEEE Templates
    7. Section 7 Improving and Revising
      1. How to Revise
      2. Polishing
        1. Making Your Article Interesting to Read
        2. Syntax
          1. Introductory phrases
          2. Subjects and verbs must agree
          3. Misplaced and dangling modifiers
        3. Use Words Carefully and Correctly
        4. Punctuation
        5. Measurements and Numbers
      3. Tips for Non-English Speakers
      4. Internal Review
    8. Section 8 Submissions
      1. Cover Letter
        1. Your cover letter should include
      2. Journal Submissions
      3. Conference Submissions
    9. Section 9 Peer Review
      1. How Peer Review Works
        1. A reviewer will evaluate your article to determine:
      2. Review Outcomes
        1. Here are some reasons for rejection
      3. Response Letter and Article Revision
      4. If Your Article is Rejected
        1. Peer Review—An Editor’s Perspective
    10. Section 10 The Final Steps
      1. Reviewing Page Proofs
        1. Page Charges, Reprints, Open Access Fees
      2. Publication
      3. Discoverability of Your Article
        1. Abstracting and Indexing Services
        2. Your Article on IEEE Xplore
        3. What You Can Do
    11. Section 11 APPENDIX
      1. Online Resources for Authors
    12. References
      1. [1]
      2. [2]
      3. [3]
      4. [4]
      5. [5]
      6. [6]
      7. [7]
      8. [8]
      9. [9]
      10. [10]
      11. [11]
      12. [12]
      13. [13]
      14. [14}
    13. Back Cover Page
  11. NEXT

  1. Story
    1. Dedicated to Dr. George Strawn, Director, National Coordination Office/NITRD (USA)​
    2. President Obama Discovers Big Data in 2009
    3. Background
  2. The Federal Big Data Initiative:​ Where it has been and where it is going
    1. Abstract​
    2. I. Background​
    3. II. Semantic Community
    4. III. The Federal Big Data Working Group Meetup
    5. IV. Examples For Ten Senior Government People
    6. V. Example of a Data Publication in a Data Browser​
      1. Fig. 1 Spotfire Dashboard of NSF BIG DATA Funding​
      2. Fig. 2. Spotfire Dashboard of Climate Change: Grid Projections-Average A2 SRES Scenario
    7. VI. You Can Participate​
    8. VII. Summary and Conclusions​
    9. Acknowledgement​
    10. References​
    11. Tables
      1. Table 1. The Federal Big Data Initiative: Where it has been and where it is going
      2. Table II. Federal Big Data Working Group Meetup
      3. Table III. Examples of Data Publications in Data Browsers for Senior Government People​
  3. Slides
    1. Slide 1 The Federal Big Data Initiative: Where it has been and where it is going
    2. Slide 2 Keynote and Panel: COM.BigData 2014
    3. Slide 3 Abstract
    4. Slide 4 President Obama Discovers Big Data in 2009
    5. Slide 5 The Federal Big Data Initiative: Where it has been and where it is going
    6. Slide 6 Semantic Community
    7. Slide 7 Three Examples in Paper and Examples for 10 Senior Government People
    8. Slide 8 You Can Participate
    9. Slide 9 NITRD FASTER
    10. Slide 10 NSF Funding for Big Data and Data Science
    11. Slide 11 NSF BIG DATA Funding Dashboard
    12. Slide 12 NSF Grant Proposal Guide and Semantic Community Proposal
    13. Slide 13 NSF FastLane Submittal Sheet
    14. Slide 14 Federal Big Data Working Group Meetup
    15. Slide 15 Agenda
    16. Slide 16 Mission Statement
    17. Slide 17 What Are We Doing?
    18. Slide 18 How Are We Doing  It?
    19. Slide 19 Data FAIRPort
    20. Slide 20 Fourth Paradigm and Fourth Question
    21. Slide 21 Activities
    22. Slide 22 June 30th Meetup: Continue Data Science Tutorial
    23. Slide 23 Practical Data Science for Data Scientists
    24. Slide 24 Follow Ben Shneiderman's 8 Golden Rules of Data Science
    25. Slide 25 Dr. George Strawn, Director, National Coordination Office/NITRD (USA)
    26. Slide 26 Data FAIRPort Conference Interview Innovation International
    27. Slide 27 The Federal Big Data Working Group Panel
    28. Slide 28 The Federal Big Data Working Group Activities
  4. Slides
    1. Slide 1 Big Data and NITRD
      1. Slide 2 Caveat auditor
      2. Slide 3 Outline
    2. Slide 4 What is NITRD?
      1. Slide 5 NITRD and the NCO
      2. Slide 6 NITRD Member Agencies
      3. Slide 7 NITRD PCAs
      4. Slide 8 NITRD SSGs
      5. Slide 9 FY 2012 Budget Estimates
    3. Slide 10 USG and Data
    4. Slide 11 Big Data
      1. Slide 12 Why now for Big Data?
      2. Slide 13 Volume: big data requires big computing
      3. Slide 14 Volume: big data requires new database architectures
      4. Slide 15 Velocity: fast big data
      5. Slide 16 Variety: diverse big data
    5. Slide 17 NITRD’s Big Data Initiative
      1. Slide 18 Core Technologies
      2. Slide 19 Domain Research Data
      3. Slide 20 Activities
      4. Slide 21 Next NITRD Steps
      5. Slide 22 Statistics and Big Data
      6. Slide 23 What the future may hold
  5. Spotfire Dashboard
  6. Spotfire Screen Captures
    1. Cover Page
    2. IEEE Explore Exports
  7. Questions
    1. Question: Can I Use the 2013 IEEE Taxonomy?
    2. Question: Can I reuse the 3M+ entries in the IEEE Xplore digital library?
    3. Question: Should all those PDF files be converted to MindTouch?
    4. Question: What is the IEEE and the IEEE Xplore Digital Library?
    5. Answer: The Best Way to Get BIG DATA is By Starting Small
    6. Answer: I Am Going to Submit a Paper
  8. Emails
    1. Invitation to Keynote at COM.BigData 2014, COM.Geo 2014, COM.DriverlessCar 2014 in Washington DC in August
    2. Response 1
    3. Response 2
    4. Response 3
    5. Response 4
    6. Response 5
  9.  Call for Papers  2014 IEEE International Conference on Big Data
  10. IEEE Authorship Series How to Write for Technical Periodicals & Conferences
    1. Section 1 introduction
    2. Section 2 Before You Begin
      1. Conducting Your Literature Search
        1. IEEE Xplore® Digital Library
        2. Bibliographic Databases
        3. Your Institution’s Library
        4. References and Citations
          1. Citation Map from IEEE Xplore
        5. Taking Notes and Keeping Track
      2. Next Steps
        1. Draft an Outline
    3. Section 3 Ethics in Scientific Publishing
      1. Who is an Author?
      2. Proper Citation of Original Work
        1. Plagiarism
          1. IEEE Recognizes Five Degrees of Plagiarism:
        2. Redundant Publication
        3. Copyright
      3. Fabrication of Data
    4. Section 4 Select an Appropriate Format
      1. Conference or Periodical?
      2. Full Length, Original Research
      3. Conference Articles
      4. Reviews
      5. Letters
    5. Section 5 Selecting where to submit
      1. Selecting a Periodical
      2. Selecting a Conference
      3. Open Access Journals
        1. Open Access Models
          1. Green open access
          2. Gold open access
          3. Hybrid open access
        2. Open Access Publishing at IEEE
          1. IEEE Hybrid Journals
          2. Fully Open Access Journals
          3. IEEE Photonics Journal
          4. IEEE Access™
    6. Section 6 Developing your manuscript
      1. Author Responsibilities
      2. The First Draft
      3. Where to Begin Writing
      4. Sections
        1. Title and Index Terms
        2. Abstracts
        3. Introduction and Published Research
        4. Problem Formulation and Results
        5. Conclusion
        6. Illustrations
        7. References
        8. Authorship Footnote, Acknowledgements, and Author Bibliography
      5. Formatting Your Article
        1. Follow the Instructions for Authors
        2. LaTeX vs. Word
        3. IEEE Templates
    7. Section 7 Improving and Revising
      1. How to Revise
      2. Polishing
        1. Making Your Article Interesting to Read
        2. Syntax
          1. Introductory phrases
          2. Subjects and verbs must agree
          3. Misplaced and dangling modifiers
        3. Use Words Carefully and Correctly
        4. Punctuation
        5. Measurements and Numbers
      3. Tips for Non-English Speakers
      4. Internal Review
    8. Section 8 Submissions
      1. Cover Letter
        1. Your cover letter should include
      2. Journal Submissions
      3. Conference Submissions
    9. Section 9 Peer Review
      1. How Peer Review Works
        1. A reviewer will evaluate your article to determine:
      2. Review Outcomes
        1. Here are some reasons for rejection
      3. Response Letter and Article Revision
      4. If Your Article is Rejected
        1. Peer Review—An Editor’s Perspective
    10. Section 10 The Final Steps
      1. Reviewing Page Proofs
        1. Page Charges, Reprints, Open Access Fees
      2. Publication
      3. Discoverability of Your Article
        1. Abstracting and Indexing Services
        2. Your Article on IEEE Xplore
        3. What You Can Do
    11. Section 11 APPENDIX
      1. Online Resources for Authors
    12. References
      1. [1]
      2. [2]
      3. [3]
      4. [4]
      5. [5]
      6. [6]
      7. [7]
      8. [8]
      9. [9]
      10. [10]
      11. [11]
      12. [12]
      13. [13]
      14. [14}
    13. Back Cover Page
  11. NEXT

Story

Slides and Slides Paper (Word and PDF)

Data Science for COM.BigData 2014 Keynote and Panel

Dedicated to Dr. George Strawn, Director, National Coordination Office/NITRD (USA)​

Semantic Community was following the Data FAIRPort  principle and Force11 Data Citation Preamble even before they existed and using Data Stories to "persuade" readers with the facts because of the influence of Dr. George Strawn, Director, National Coordination Office/NITRD (USA) who said recently at the Data FAIRPort (Findable, Accessible, Interoperable, and Reusable) Conference (see Interview Innovation International):

  • I am an observer from the US federal government and especially interested in this conference given the recent requirement to provide open access to scientific results funded by the US federal government covering both scientific articles as well as the supporting data.
  • At the highest level what we’re looking to establish is the interoperability of heterogeneous data sets as we can’t expect the data collected by thousands of investigators to be in a similar format.
  • It’s only relatively recently that the disk storage has been large and cheap enough; that computers have been fast enough; and that the networks have had wide enough bandwidth that we could seriously think about storing most things. Now that we can do all this, we see that there are great advantages if we can develop the software to support the hardware and improve data mining into this tremendous source of scientific data.
  • At the highest level, I am hoping that we will develop the technology and the social willingness to work on interoperability of heterogeneous datasets so that we can combine them in novel ways. If we can truly structure scientific data, we will be able to conduct new science.
  • I would just add optimistically that science already has a community of sharing via research articles, so all we have to do is extend that concept from just articles to articles and datasets. It will be very important for universities and other funders to expand the concept of faculty rewards to include rewards for publishing data, just as now faculties are rewarded for publishing their research articles. This could also be extended to include software.
  • If history is any guide, we’ve seen some community activities with similar aspirations work in the past. In the 1980s-90s for example, a group called the Internet Engineering Task Force arose out of the original foundations of the internet to make community decisions on internet standards and protocols. Then, in the 90s and the 2000s, the World Wide Web consortium arose to do the same thing for standards and protocols associated with the Web. Both of these activities are what you would call non-profit community-orientated activities; but they have produced key platforms upon which other entrepreneurs have been able to found very important businesses in service to science and society.
  • I would just add that that not only are these technologies ultimately applicable to all science and other scholarly domains, their ultimate value will hopefully be to promote interdisciplinary research. Overlaps between chemistry and biology are well known; and between biology and geology now as climate change is considered – if we can use electronic technology to help us articulate between and among these scientific fields, I think we will create entire new tiers of knowledge.

Excerpts from Big Data and NITRD Presentation Below

Domain Research Data

  • Astronomy, Virtual Observatory
  • data.gov
  • Earth Observation Systems
  • Genomics
  • Materials Genome
  • Nano S&T, Nanohub
  • NSF projects such as DataOne, DataNet
  • Particle Physics, LHC

Next NITRD steps

  • Creating a science of big data?
  • From mining knowledge to directing action?
  • Bringing together diverse communities
  • Enhancing big data education and training

What the future may hold

  • Data intensive science appears to be revolutionary science
  • Data analytics and other big data services are major opportunities for business and government
  • Big Data may also be the basis of new services for people, perhaps as significant as the Web, Google and Facebook

 

President Obama Discovers Big Data in 2009

399px-Barack_Obama_looks_through_a_telescope.jpg

Barack Obama looks through a telescope.jpg: http://commons.wikimedia.org/wiki/Fi..._telescope.jpg

United States President Barack Obama looks through a telescope during an Astronomy Night event on the South Lawn of the White House on Wednesday, 7 October 2009. The President and First Lady, Michelle Obama, hosted the star party to mark the International Year of Astronomy (IYA2009), which celebrated the 400th anniversary of GalileoGalilei's first use of a telescope. The President addressed a group of 150 local school students, and astronauts Buzz AldrinMae JemisonJohn Grunsfeld, and Sally Ride also attended. The President's science advisor John Holdren guided the President in viewing a double star in the constellation Lyra through an 8" diffraction limited Schmidt–Cassegrain telescope

Background

Since the White House announced the Big Data Initiative in 2012, there have been a series of activities for government agencies, academia, and industry to participate in to develop data scientists, perform research, and to develop applications. The work of the Federal Big Data Senior Steering Work Group, the NSF Funding for Big Data and Data Science, and the Federal Big Data Working Group Meetup have all been important in carrying out these activities which are summarized in: Keynote: The Federal Big Data Initiative: Where it has been and where it is going, and in Panel: Federal Big Data Working Group Meetup: Data Science Data Publications in Data Browsers

The Presidential Digital Government Strategy and Open Data / Open Government Policy, the new Congressional Data Act, and the Open Research Data Policy, all essentially require Data Science Data Publications in Data Browsers.

The Semantic Community Semantic Data Science Team pioneered a government big data application for the Federal Big Data Senior Steering Work Group called Semantic Medline on the YarcData Graph Appliance in which a massive medical publication data base (PubMed) was converted to a Semantic Web Graph Data Format (RDF) consisting of about 25 billion triples whose complex graph relationships are instantaneously visualized for discovery of diseases and treatments by medical scientists and researchers. For more details see: Finding a Needle in a Digital haystack The Opinion PagesGartner on YarcData UrikaMEDLINE Solutions Brief, and Urika Product Brief.

Now the challenge is to apply this successful combination of collaboration and technology to other scientific subject matter and organizations.

The first opportunity for our Semantic Community Semantic Data Science Team since this has been with the upcoming CODATA International Society for Digital Earth (ISDE) Workshop on Big Data for International Scientific Programmes: Challenges and Opportunities, June 8-9, Beijing, China. In preparation for this workshop presentation and tutorial we have prepared Big Data Science for CODATA and Digital Earth: Big Earth Data and Geospatial Analytics by mining their two principal scientific journals (Data Science and Digital Earth) to make both the journals and individual publications with data, scientific data publications in data browsers. It is obvious from the long list of science journals and their organizations that this process can be replicated many times and all the data results converted to the Semantic Web Graph Data Format (RDF) and visualized in the YarcData Graph Appliance for discovery of relationships between the individual disciplines and organizations. This is in fact the objective of the second year of the Big Data Initiative: to foster collaborations between the individual initiatives!

The next opportunity for our Semantic Community Semantic Data Science Team that came out of the CODATA work was from their​ Workshops on Extremely Large Databases, which featured Science Database Pioneers: Michael Stonebraker and Kirk Borne. Professor Borne is already a member of our Semantic Community Semantic Data Science Team because he and his George Mason University graduate students are interested in using Semantic Medline on the YarcData Graph Appliance and other Extremely Large Databases like their Large Sky Survey Telescope (LSST) research.

Our Federal Big Data Working Group Meetup on June 30th will feature Science Database Pioneer: Michael Stonebraker and Professor Sam Madden of the MIT Big Data Program, talking about how our Meetup Members can collaborate with both MIT and Tamr, a new company found by Stonebraker in 2013.

Their published research paper describes Data Tamer: An end-to-end curation system we have built at M.I.T. Brandeis, and Qatar Computing Research Institute (QCRI). It expects as input a sequence of data sources to add to a composite being constructed over time. A new source is subjected to machine learning algorithms to perform attribute identification, grouping of attributes into tables, transformation of incoming data and deduplication. When necessary, a human can be asked for guidance. Also, Data Tamer includes a data visualization component so a human can examine a data source at will and specify manual transformations. It solves two clients problems: a web aggregator requires the curation of 80,000 URLs and a biotech company has the problem of curating 8000 spreadsheets.

The Semantic Community Semantic Data Science Team has produced 1000's of spreadsheets in both relational and graph data formats that can be processed in Tamr and YarcData. Federal Government agencies have 1000s of spreadsheets with valuable information like the 1,500 some in the Annual Statistical Abstract of the US Government.

The Semantic Community Semantic Data Science Team also needs to expand to include those with scientific data publishing experience because NSF Assistant Director Farnam Jahanian said recently"Implementation plans for public access (to scientific research data) could vary by discipline, and new business models for universities, libraries, publishers, and scholarly and professional societies could emerge." Our team needs to broker access to scientific research data publications like the Elsevier Research Data Services so that it creates a win-win for both the scientific community and the publisher. The recent STM Innovations Seminar U.S. 2014 featured some of these:

  • Tech trend 1: the machine is the new reader. Highlights from the Future Lab team
  • Tech trend 2: the return to the author
  • Tech trend 3: new players changing the game. see http://ow.ly/3jPdvY
  • Kevin Boyack of SciTech shares data that shows books are 2 to 4x more cited than journal articles in sciences
  • L Hunter: "With enough data you don't need semantic search. You can just use statistics."
  • L Hunter: Knowledge Representation (publishers) look at Alzforum collaborative knowledge sharing
  • A baseball metrics talk to open. With perfect timing, the latest submission to the @writelatex gallery is an article on baseball!:  https://www.writelatex.com/articles/...ect-on-salary/ 
  • Anita de Waard: "Looking for Data: Finding New Science“: http://t.co/eok3ma37vO

Amazingly, our Semantic Community Semantic Data Science Team has experience with all of these, the most recent of which is making the recent White House Climate Change Impacts Assessment Report (PDF) and Web Site a Scientific Data Publication in a Data Browser: Data Science for Climate Change.

So the way forward with the Federal Big Data Initiative now is contrary to what it said in the first round BIG DATA Solicitation: What proposals are not good fits for the BIGDATA Solicitation? 2

Proposals that focus primarily on:

  • Implementing existing techniques and technologies
  • Applying existing techniques (e.g., machine learning, statistical analysis) to specific data sets
  • Developing databases to serve specific scientific communities using existing database techniques

Why? Because the rest of the world is racing ahead with all of this and doing the supporting research along the way with venture capital investment because the government research funding process has become too slow.

The Data Community DC Meetup is a community of over 4000 data scientists (and want-a-be data scientists) eager to learn and apply data science in their work. This is why I recently suggested to Dr. Francine Berman, Head of the new Research Data Alliance, she should include them in their work, and why our Federal Big Data Working Group Meetup has the Mission Statement, Framework, and Three Goals for Presentations it does - see Response 3 below.

In essence, what needs to be done going forward is the following:

  • Data Science on scientific data publications (journals, books, key reports) to prepare them for input to new big data integration and discovery technologies (Semantic Insights, Tamr, YarcData, etc.);
  • Exploitation of these data science products in these new technologies and their socialization in the Meetup and other professional collaborative environments; and
  • Development of new implementation plans for public access (to scientific research data) by discipline and new business models for universities, libraries, publishers, and scholarly and professional societies.

The new Data FAIRPort principle says: Valuable scientific data is ‘FAIR’ in the sense of being Findable, Accessible, Interoperable and Re-usable. We believe the general principles of data FAIRness are well articulated in the data citation principles of Force11. Data FAIRport takes a next step in implementing these principles and we would like to invite you to review and, if possible, endorse these principles.

The Force11 Data Citation Preamble says: Sound, reproducible scholarship rests upon a foundation of robust, accessible data. For this to be so in practice as well as theory, data must be accorded due importance in the practice of scholarship and in the enduring scholarly record.  In other words, data should be considered legitimate, citable products of research. Data citation, like the citation of other evidence and sources, is good research practice and is part of the scholarly ecosystem supporting data reuse.

Semantic Community was following the Data FAIRPort principle and Force11 Data Citiation Preamble even before they existed and using Data Stories to "persuade" readers with the facts because of the influence of Dr. George Strawn, Director, National Coordination Office/NITRD (USA) who said recently at the Data FAIRPort (Findable, Accessible, Interoperable, and Reusable) Conference (see Interview Innovation International)

  • I am an observer from the US federal government and especially interested in this conference given the recent requirement to provide open access to scientific results funded by the US federal government covering both scientific articles as well as the supporting data.
  • At the highest level what we’re looking to establish is the interoperability of heterogeneous data sets as we can’t expect the data collected by thousands of investigators to be in a similar format.
  • It’s only relatively recently that the disk storage has been large and cheap enough; that computers have been fast enough; and that the networks have had wide enough bandwidth that we could seriously think about storing most things. Now that we can do all this, we see that there are great advantages if we can develop the software to support the hardware and improve data mining into this tremendous source of scientific data.
  • At the highest level, I am hoping that we will develop the technology and the social willingness to work on interoperability of heterogeneous datasets so that we can combine them in novel ways. If we can truly structure scientific data, we will be able to conduct new science.
  • I would just add optimistically that science already has a community of sharing via research articles, so all we have to do is extend that concept from just articles to articles and datasets. It will be very important for universities and other funders to expand the concept of faculty rewards to include rewards for publishing data, just as now faculties are rewarded for publishing their research articles. This could also be extended to include software.
  • If history is any guide, we’ve seen some community activities with similar aspirations work in the past. In the 1980s-90s for example, a group called the Internet Engineering Task Force arose out of the original foundations of the internet to make community decisions on internet standards and protocols. Then, in the 90s and the 2000s, the World Wide Web consortium arose to do the same thing for standards and protocols associated with the Web. Both of these activities are what you would call non-profit community-orientated activities; but they have produced key platforms upon which other entrepreneurs have been able to found very important businesses in service to science and society.
  • I would just add that that not only are these technologies ultimately applicable to all science and other scholarly domains, their ultimate value will hopefully be to promote interdisciplinary research. Overlaps between chemistry and biology are well known; and between biology and geology now as climate change is considered – if we can use electronic technology to help us articulate between and among these scientific fields, I think we will create entire new tiers of knowledge.

MORE TO FOLLOW

The Federal Big Data Initiative:​ Where it has been and where it is going

Source: Word

Brand Niemann

Director and Senior Data Scientist

Semantic Community

Fairfax, Virginia, United States of America

bniemann@cox.net

Abstract​

Since the White House announced the Big Data Initiative in 2010, there have been a series of activities for government agencies, academia, and industry to participate in to develop data scientists, perform research, and to develop applications, which this presentation will summarize.

The work of the Federal Big Data Senior Steering Work Group, the NSF Big Data Funding Opportunities, and the Federal Big Data Working Group Meetup will be described and specific examples will be shown.

The roles of the Presidential Digital Government Strategy and Open Data / Open Government Policy, the new Congressional Data Act, and the Open Research Data Policy will be described and specific examples of their implementation will be given.

One should be able to see where they might participate in the Federal Big Data Initiative as a result of reading this paper.

Keywords—White House Big Data Initiative, Federal Big Data Senior Steering Work Group, NSF Big Data Funding Opportunities, Federal Big Data Working Group Meetup

I. Background​

Since the White House announced the Big Data Initiative in 2012, there have been a series of activities for government agencies, academia, and industry to participate in to develop data scientists, perform research, and to develop applications. The work of the Federal Big Data Senior Steering Work Group, the NSF Funding for Big Data and Data Science, and the Federal Big Data Working Group Meetup have all been important in carrying out these activities which are summarized in: TABLE 1: The Federal Big Data Initiative: Where it has been and where it is going, and in TABLE II. Federal Big Data Working Group Meetup: Data Science Data Publications in Data Browsers. Please note that because these are large linked data tables, they are in single column format at the end of the paper.

The context for this paper is shown in TABLE I. The federal government has been moving towards data publications in data browsers with the help of Semantic Community since 2009. Our purpose was and still is to support The Presidential Digital Government Strategy and Open Data / Open Government Policy, the new Congressional Data Act, and the Open Research Data Policy, because all essentially require Data Science Data Publications in Data Browsers.

In TABLE I., the so-called Prelude was January 2009 to the White House Announcement in March 29, 2012, and the Semantic Community Semantic Data Science Team started to work on Semantic Medline.

The Federal Digital Government Strategy has been interpreted as "treating all content as data", so big data = all your content. Thus even a small government agency or organization has Big Data if they utilize all of their content. Semantic Community says: "We make Big Data Small" using Semantics & Advanced Analytics.

TABLES I. and II. also show the Semantic Community Data Management Plan and commitment to the community-at-large to publicly preserve the reports, documents, meeting proceedings, data stories, data sets, and metadata for reuse.

II. Semantic Community

The Semantic Community Semantic Data Science Team pioneered a government big data application for the Federal Big Data Senior Steering Work Group called Semantic Medline on the YarcData Graph Appliance in which a massive medical publication data base (PubMed) was converted to a Semantic Web Graph Data Format (RDF) consisting of about 25 billion triples whose complex graph relationships are instantaneously visualized for discovery of diseases and treatments by medical scientists and researchers. For more details see: Finding a Needle in a Digital haystack The Opinion PagesGartner on YarcData UrikaMEDLINE Solutions Brief, and Urika Product Brief.

Now the challenge is to apply this successful combination of collaboration and technology to other scientific subject matter and organizations.

The next opportunity for our Semantic Community Semantic Data Science Team was with the CODATA International Society for Digital Earth (ISDE) Workshop on Big Data for International Scientific Programmes: Challenges and Opportunities, June 8-9, Beijing, China. In preparation for this workshop presentation and tutorial, we prepared Big Data Science for CODATA and Digital Earth: Big Earth Data and Geospatial Analytics by mining their two principal scientific journals (Data Science and Digital Earth) to make both the journals and individual publications with data, scientific data publications in data browsers. It is obvious from the long list of science journals and their organizations that this process can be replicated many times and all the data results converted to the Semantic Web Graph Data Format (RDF) and visualized in the YarcData Graph Appliance for discovery of relationships between the individual disciplines and organizations. This is in fact the objective of the second year of the Big Data Initiative: to foster collaborations between the individual initiatives!

The Semantic Community Semantic Data Science Team also needed to expand to include those with scientific data publishing experience because NSF Assistant Director Farnam Jahanian said recently: "Implementation plans for public access (to scientific research data) could vary by discipline, and new business models for universities, libraries, publishers, and scholarly and professional societies could emerge." Our team needs to broker access to scientific research data publications like the Elsevier Research Data Services so that it creates a win-win for both the scientific community and the publisher.

III. The Federal Big Data Working Group Meetup

The Federal Big Data Working Group Meetup is a broad community of participants focused on big data products for the Federal Big Data Initiative.

Our mission statement is as follows:

  • Federal: Supports the Federal Big Data Initiative, but not endorsed by the Federal Government or its Agencies;
  • Big Data: Supports the Federal Digital Government Strategy which is "treating all content as data", so big data = all your content;
  • Working Group: Data Science Teams composed of Federal Government and Non-Federal Government experts producing big data products; and
  • Meetup: The world's largest network of local groups to revitalize local community and help people around the world self-organize like MOOCs (Massive Open On-line Classes) being considered by the White House.

Our Framework is as follows:

  • Leadership of the Semantic Data Science Team that produced Semantic Medline running on the Yarc Data Graph Appliance.
  • Organize a Community of Data Scientists and Related Fields to focus on treating all of your content as "Big Data" by founding and co-organizing of the Federal Big Data Working Group Meetup.
  • A graduate class prepared for GMU entitled “Practical Data Science for Data Scientists”.
  • Follow the Cross Industry Standard Process for Data Mining (CRISP-DM; Shearer, 2000) to build a Data Science Knowledge Base
  • Mine prominent scientific journals for data policy, data bases, and data results that can be reused like Data Science and Digital Earth scientific journals for the CODATA International Workshop on Big Data for International Scientific Programmes, (June 8-9, in Beijing).
  • Participation in the Data FAIRport (Findable, Accessible, Interoperable, and Reusable) with “Data Publication in Data Browsers”.
  • Obtain NSF funding for sustained data science for data publications work over a period of years
  • Providing data stories that persuade and presentation materials for public education conferences like the COM.BigData Conference (August 4-6, in Washington, DC).

Our Meetup presentations focus on answering four essential questions:

  • How was the data collected?
  • Where is the data stored?
  • What are the data results?
  • Does the data story persuade?

Examples of the answers to these questions are given in the examples in the next section.

All are welcome to participate in our Meetups and learn big data science from tutorials and be mentored in their university and professional work and proposal writing.

During the past six months the Federal Big Data Working Group Meetup has focused on Federating Uses Cases, Data Publications, and Solutions & Technologies in the Meetups shown in TABLE II.

IV. Examples For Ten Senior Government People

Data Publications in Data Browsers have been created for at least the ten senior government officials as shown in TABLE III. as a way of educating and motivating them to task their staff and contractors to start doing the same.

Again please note that because these are large linked data tables, they are in single column format at the end of the paper.

V. Example of a Data Publication in a Data Browser​

The NSF Grant Proposal Guide PDF file was converted to wiki format with structure and the grant proposal paper format was added with links to the appropriate sections of the Guide.

The index of the wiki page was captured to a spreadsheet as linked data in both graph and relational table formats for input to a Spotfire Dashboard along with 4 other spreadsheets of NSF Grants Awards data table for display in 4 tabs (Cover Page, BIG DATA Science, CDS&E, DIBBs, and IGERT) shown in Fig. 1.

The Cover Page contains the Merged Data Set in an overview interactive display where one can selected one or more Filters to the right and drill down and then select a graph element or row of data to see the details-on-demand.

Those looking to know more about the NSF BIG DATA Initiative and related programs can search these spreadsheets and Spotfire dashboards to identify projects they might want to partner with in their completions and/or new projects they might want to propose that do not duplicate existing projects.

Fig. 1 Spotfire Dashboard of NSF BIG DATA Funding​

NSFBIGDATAFunding-SpotfireMergedDataSet.png

 

The entire (publically available) International Journal of Digital Earth has been copied into a wiki and structured so a data publication index can be built in a spreadsheet that can be used in Spotfire for content analytics and publication analytics along with Spotfire data analytics.

One significant highlight is the Fig. 2. Spotfire visualization of the Climate Change: Grid Projections - Average A2SRES Scenario superimposed on the global geospatial infrastructure, which is still a work in progress to measure all the parameters of interest on a grid like this, or at enough locations to be confidently interpolated to such a grid.

Please note that the Spotfire Dashboards shown are available as both client-based and web-based data browsers.

Fig. 2. Spotfire Dashboard of Climate Change: Grid Projections-Average A2 SRES Scenario

CODATAClimate-Spotfire-Grid Projections-Average B1 SRES Scenario.png

VI. You Can Participate​

You can participate in the following ways:

  • Federal Big Data Senior Steering Work Group:
    • The Big Data Senior Steering Group (BD SSG) works to facilitate and further the goals of the White House Big Data R&D Initiative. The BD SSG strategic priorities include: Core technologies, Big data infrastructure, Workforce development, and Competitions and challenges.
      • Primarily government with some non-government invited presentations like Semantic Community.
  • Faster Administration of Science and Technology Education and Research (FASTER):
    • FASTER’s goal is to enhance collaboration and accelerate agencies’ adoption of advanced IT capabilities developed by Government-sponsored IT research. FASTER hosts Expedition and Emerging Technology workshops as well as monthly meetings with invited guest speakers to achieve this goal.
      • Open to public. Get on email list.
  • NSF Funding for Big Data and Data Science:
    • Recent Program Solicitation: Critical Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA).
      • The Semantic Community Data Science Team submitted a proposal you can see.
  • Federal Big Data Working Group Meetup:
    • Mission Statement, What We Are Doing, and How We Are Doing It.
      • About 280 members now (government and non-government) with diverse employment and interests. Open to public, just become a member at the web site.

VII. Summary and Conclusions​

The three-fold purpose of this paper (NSF BIG DATA Grant Proposal, Data Publication in a Data Browser, and Conventional Paper Publication) has been presented and multiple examples of Data Publications in Data Browsers have been provided in three linked data tables (TABLES I, II, & -III.)

So the way forward with the Federal Big Data Initiative  now is

  • Implementing existing techniques and technologies
  • Applying existing techniques (e.g., machine learning, statistical analysis) to specific data sets
  • Developing databases to serve specific scientific communities using existing database techniques

Why? Because the rest of the world is racing ahead with all of this and doing the supporting research along the way with venture capital investment because the government research funding process has become too slow.

Acknowledgement​

The author acknowledges with gratitude the influence of Dr. George Strawn, Director, National Coordination Office/NITRD (USA), for his leadership and wisdom during my years of federal service and since. He also acknowledges the many supervisors and colleagues that have supported his work, especially current members (about 290) of the Federal Big Data Working Group Meetup.

References​

[1]     This paper uses web links

Tables

Table 1. The Federal Big Data Initiative: Where it has been and where it is going

Data Source: Excel Federal Big Data Initiative Tab

 

Date

Event

Comments

January 2009

Report of the Interagency Working Group on Digital Data to the National Science and Technology Council

Harnessing the Power of Digital Data for Science and Society

April 26, 2010

“OSTP in the Open” (R&D dashboard)

OSTP Open Government Plan

June 29 – July 1, 2010 (Published on March 31, 2011)

Scientific Data Management (SDM) for Government Agencies: Report from the Workshop to Improve SDM

Harnessing The Power Of Digital Data: Taking the Next Step

December 2010

The President’s Council of Advisors on Science and Technology Report on Designing a Digital Future

Crosscutting Themes (Interoperable Interfaces). My Note: See Spotfire Dashboards below!

Early 2011

The Big Data Senior Steering Group (BD SSG) formed.

The Big Data Senior Steering Group (BD SSG) works to facilitate and further the goals of the White House Big Data R&D Initiative. The BD SSG strategic priorities include: Core technologies, Big data infrastructure, Workforce development, and Competitions and challenges.

March 21-22, 2011

Open Government Research & Development Summit, March 21-22, 2011

NITRD Dashboards in Spotfire (3)

March 29, 2012

Obama Administration’s $200 million "National Big Data Research and Development Initiative"

The Big Data Initiative launch featured more than $200 million in new commitments from six Federal departments and agencies aiming to make the most of the explosion of Big Data and the tools needed to analyze it.

April 2012

Semantic Data Science Team Started to Work on Semantic Medline

"Both language and human thought are large, for feasibility we need to scale down the complexity of the process of semantic interpretation." Thomas C. Rindflesch, Ph.D., Lister Hill National Center for Biomedical Communication

April 4, 2012

Semantic Search (and Data Science Dashboards) for NSF Decision Making

Research.gov Dashboards in Spotfire

January 24, 2013

Presentation to BDSSG: Semantic Medline and Government Challenges with Big Data

About a year ago, Dr. George Strawn challenged me to pilot a new partnership to make NIH’s Semantic Medline “the killer semantic web app for the government” and the keystone of workforce development for future data scientists.

May 3, 2013

White House Big Data Partners Workshop

The first workshop brought together representatives from industry, academia, and government to learn about existing BD partnerships, make connections with interested parties, and explore future possibilities.

May 29, 2013

Big Data Senior Steering Group (BDSSG) Workshop: Data Sharing and Metadata Curation: Obstacles and Strategies

Future strategies for managing scientific data and metadata for basic and applied research

June 20, 2013

Request for Two-Page Summary of Big Data Projects

Semantic Data Science Team Submission: Making the Most of Big Data

July 1, 2013

Free Online Version: Frontiers in Massive Data Analysis

Data Publication: Frontiers in Massive Data Analysis

September 10-11, 2013

AFEI Cloud: SOA, Semantics, and Data Science (15th SOA for eGov Conference)

First Live Semantic Medline-YarcData Graph Appliance Demos:  YarcData Videos  Demos:  Schizo- 7 minutes,  Cancer-21 minutes

November 12, 2013

Data to Knowledge to Action Event Takes Big Data Initiatives to Innovative Heights

Semantic Data Science Team Attends White House Big Data Event

January 7, 2014

Federal Big Data Working Group Meetup Kickoff My Note: See Table Below for More Detail

Semantic Big Data Science Application: Semantic Medline on the YarcData Graph Appliance for the Federal Big Data Senior Steering Work Group

March 3, 2014

White House Blog Post: “Privacy Workshop to Explore "Big Data" Opportunities, Challenges”

Big Data Privacy Workshop

March 4, 2014

Federal Big Data Working Group Meetup: Number 4

Joint NSF-NIH Biomedical Big Data Research: Euretos BRAIN

June 9, 2014

Critical Techniques and Technologies for Advancing Big Data Science & Engineering  (BIGDATA)

See NSF Funding Opportunities in Data Science

 

Table II. Federal Big Data Working Group Meetup

Data Source Excel Federal Big Data Working Group Meetup Tab

 

MindTouch

Meetup.com

Story (s)

Kick-off Meetup: Tuesday, January 7, 6:30 p.m.

Let's have our Kickoff in early January 2014.

Tutorials StartPractical Data Science for Data Scientists and Semantic Big Data Science Application: Semantic Medline on the YarcData Graph Appliance for the Federal Big Data Senior Steering Work Group

Second Meetup: Tuesday, February 4, 6:30 p.m.

Second Meetup: Tuesday, February 4, 6:30 p.m.

Healthcare.gov Data Science and Be Informed Prototype Video

Third Meetup: Tuesday, February 18, 6:30 p.m.

Evolution of Semantic Technologies-The Value of Merging Smart Data With Big Data

Modus Operandi Semantic Knowledge Base

Fourth Meetup: Tuesday, March 4, 6:30 p.m.

Joint NSF-NIH Biomedical Big Data Research

NIST Data Science SymposiumEuretos BRAIN, and Data Culture at the NIH

Fifth Meetup: Tuesday March 18, 2014, 6:30 p.m.

Continue Data Science Tutorial and Learn About Bigdata SYSTAP

Bigdata SYSTAP Literature Survey of Graph Databases and Graph Databases

Sixth Meetup, Tuesday April 1, 2014, 6:30 p.m.

Marc Smith, Network Analytics, and Kate Goodier on Big Data Privacy

Data Science for VIVONodeXL and Sci2 for Data Science and Big Data Privacy Workshop

Seventh Meetup: Tuesday, April 15, 6:30 p.m.

Kate Goodier, Cognitive Metadata, and Cambridge Semantics, Insider Trading

Data Science for FIBO

Eight Meetup: Tuesday, May 6, 6:30 p.m.

EPA/NASA Climate-Environment­al Data Analytics & A Redesigned, Open Data.gov

Data Science for EPA Air DataChesapeake Bay Program, andNASA Big Data

Ninth Meetup: Tuesday, May 20, 6:30 p.m.

Data Science at GMU and Elsevier Research Data Services

A Data Science Big Mechanism for DARPA and Data Science for Climate Change Impacts

Tenth Meetup: Monday, June 2, 6:30 p.m.

Ontology Summit 2014 Postmortem and Reading & Reasoning with Semantic Insights for the DARPA Big Mechanism

Ontology for Big DataBig Data Science for CODATA and Semantic Insights

Eleventh Meetup: Monday, June 30, 6:30 p.m.

MIT Big Data Initiative: Sam Madden, & Current Elephants: Michael Stonebraker

MIT Big Data Initiative: bigdata@CAIL and the new Intel Science and Technology Center for Big DataSam Madden and Why the current "elephants" are good at nothing, Data Tamer, and data integration issues, Michael Stonebraker Workshops on Extremely Large Databases

Twelveth Meetup: Monday, July 7, 6:30 p.m.

Data Science of White House Big Data Review and Brooke Aker: Big Data Lens on OpenFDA

Mary Galvin, AIC, HPCC Systems Academic Program and the Georgetown University McCourt School of Public Policy’s Massive Data Institute, Katherine Goodier, Excelerate Solutions, Legislative Data and Transparency Conference and Chuck Rehberg: SIRA Part II, and Brooke Aker. Big Data Lens A Look at OpenFDA API and Big Data Design(s) Based on It.

Thirteenth Meetup: Monday, August 4, 9:00 a.m.

COM.BigData 2014: The 1st International Summit on Big Data Computing

Keynote and Panel

 

Table III. Examples of Data Publications in Data Browsers for Senior Government People​

Data Source: Semantic Community NSF BIG DATA PROPOSAL

 

Person

Interest

Data Publication in Data Browser

Example

Dr. John Holdren

Climate Change

Data Publication in Data Browser

Climate Change Assessment

Dr. George Strawn

Research Objects as Digital Objects

Data Publication in Data Browser

VIVO

Dr. Farnam Jahanian

NSF Big Data Publications

Data Publication in Data Browser

NSF Big Data

Dr. Phil Bourne

Data Culture at NIH

Data Publication in Data Browser

Bourne Research & NIH

Dan Kaufman and Paul Cohen

Big Mechanism for Cancer

Data Publication in Data Browser

DARPA Contract

Bryan Sivak

Hack-a-Thon

Data Publication in Data Browser

HHS IDEALAB

Todd Park

Code-a-Palooza

Data Publication in Data Browser

Health Datapalooza V

Brian Lee

Health United States 2013

Data Publication in Data Browser

Centers for Disease Control & Prevention Report

The Honorable Kathleen Sebelius

Dynamic Case Management

Data Publication in Data Browser

HealthCare.gov Web Site

 

Slides

Slides

Slide 2 Keynote and Panel: COM.BigData 2014

http://www.com-geo.org/conferences/2014/prog_keynotes.htm

BrandNiemann08042014Slide2.PNG

Slide 3 Abstract

BrandNiemann08042014Slide3.PNG

Slide 4 President Obama Discovers Big Data in 2009

Source: http://commons.wikimedia.org/wiki/File:Barack_Obama_looks_through_a_telescope.jpg

BrandNiemann08042014Slide4.PNG

Slide 5 The Federal Big Data Initiative: Where it has been and where it is going

http://semanticommunity.info/Data_Science/Data_Science_for_COM.BigData_2014#Keynote:_The_Federal_Big_Data_Initiative:_Where_it_has_been_and_where_it_is_going

BrandNiemann08042014Slide5.PNG

Slide 7 Three Examples in Paper and Examples for 10 Senior Government People

http://semanticommunity.info/Data_Science/NSF_Funding_for_BIG_DATA_and_Data_Science/NSF_Grant_Proposal_Guide#Conclusion

BrandNiemann08042014Slide7.PNG

Slide 8 You Can Participate

BrandNiemann08042014Slide8.PNG

Slide 9 NITRD FASTER

Web Site

BrandNiemann08042014Slide9.PNG

Slide 11 NSF BIG DATA Funding Dashboard

Web Player

BrandNiemann08042014Slide11.PNG

Slide 13 NSF FastLane Submittal Sheet

https://www.fastlane.nsf.gov/jsp/homepage/proposals.jsp

BrandNiemann08042014Slide13.PNG

Slide 14 Federal Big Data Working Group Meetup

http://www.meetup.com/Federal-Big-Data-Working-Group/events/186838842/

BrandNiemann08042014Slide14.PNG

Slide 16 Mission Statement

BrandNiemann08042014Slide16.PNG

Slide 17 What Are We Doing?

BrandNiemann08042014Slide17.PNG

Slide 18 How Are We Doing  It?

BrandNiemann08042014Slide18.PNG

Slide 20 Fourth Paradigm and Fourth Question

BrandNiemann08042014Slide20.PNG

Slide 21 Activities

BrandNiemann08042014Slide21.PNG

Slide 24 Follow Ben Shneiderman's 8 Golden Rules of Data Science

Source: "8 Golden Rules of Data Science“
http://semanticommunity.info/Data_Science/Ben_Shneiderman 

BrandNiemann08042014Slide24.PNG

Slide 25 Dr. George Strawn, Director, National Coordination Office/NITRD (USA)

http://datafairport.org/
https://www.force11.org/datacitation
Interview Innovation International

BrandNiemann08042014Slide25.PNG

Slide 26 Data FAIRPort Conference Interview Innovation International

BrandNiemann08042014Slide26.PNG

Slide 27 The Federal Big Data Working Group Panel

http://www.com-geo.org/conferences/2...rog_panels.htm

BrandNiemann08042014Slide27.PNG

Slide 28 The Federal Big Data Working Group Activities

http://www.com-geo.org/conferences/2...BDWG_panel.pdf

BrandNiemann08042014Slide28.PNG

Slides

Slides

Slide 1 Big Data and NITRD

GeorgeStrawn06172014Slide1.png

Slide 2 Caveat auditor

GeorgeStrawn06172014Slide2.png

Slide 3 Outline

GeorgeStrawn06172014Slide3.png

Slide 4 What is NITRD?

GeorgeStrawn06172014Slide4.png

Slide 5 NITRD and the NCO

GeorgeStrawn06172014Slide5.png

Slide 6 NITRD Member Agencies

GeorgeStrawn06172014Slide6.png

Slide 7 NITRD PCAs

GeorgeStrawn06172014Slide7.png

Slide 8 NITRD SSGs

GeorgeStrawn06172014Slide8.png

Slide 9 FY 2012 Budget Estimates

GeorgeStrawn06172014Slide9.png

Slide 10 USG and Data

GeorgeStrawn06172014Slide10.png

Slide 11 Big Data

GeorgeStrawn06172014Slide11.png

Slide 12 Why now for Big Data?

GeorgeStrawn06172014Slide12.png

Slide 13 Volume: big data requires big computing

GeorgeStrawn06172014Slide13.png

Slide 14 Volume: big data requires new database architectures

GeorgeStrawn06172014Slide14.png

Slide 15 Velocity: fast big data

GeorgeStrawn06172014Slide15.png

Slide 16 Variety: diverse big data

GeorgeStrawn06172014Slide16.png

Slide 17 NITRD’s Big Data Initiative

GeorgeStrawn06172014Slide17.png

Slide 18 Core Technologies

GeorgeStrawn06172014Slide18.png

Slide 19 Domain Research Data

GeorgeStrawn06172014Slide19.png

Slide 20 Activities

GeorgeStrawn06172014Slide20.png

Slide 21 Next NITRD Steps

GeorgeStrawn06172014Slide21.png

Slide 22 Statistics and Big Data

GeorgeStrawn06172014Slide22.png

Slide 23 What the future may hold

GeorgeStrawn06172014Slide23.png

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Spotfire Screen Captures

Cover Page

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Questions

Question: Can I Use the 2013 IEEE Taxonomy?

Version 1.0
©2013 IEEE.
Created by The Institute Of Electrical and Electronics Engineers (IEEE)

IEEE Taxonomy: A Subset Hierarchical Display of IEEE Thesaurus Terms

Source: http://www.ieee.org/documents/taxonomy_v101.pdf (PDF)

The IEEE Taxonomy comprises the first three hierarchical 'levels' under each term-family (or branch) that is formed from the top-most terms of the IEEE Thesaurus. In this document these term-families
are arranged alphabetically and denoted by boldface type. Each term family's hierarchy goes to no more than three sublevels, denoted by indents (grouping of four dots) preceding the next level terms.
A term can appear in more than one hierarchical branch and can appear more than once in any particular hierarchy. The IEEE Taxonomy is defined in this way so that it is always a subset of the IEEE
Thesaurus.

COMBigData2014KnowledgeBase-IEEETaxonomyPDF.png

COMBigData2014KnowledgeBase-IEEETaxonomyExcel.png

Question: Can I reuse the 3M+ entries in the IEEE Xplore digital library?

Authors need to find your research in order to cite it. The IEEE Xplore digital library is an advanced online platform containing most of the published material from IEEE Publications and its predecessors. It is designed so that your published work will appear in search results quickly and in the right context. Depending upon the periodical in which you publish, your work will be indexed by organizations that facilitate discovery and connections among scholarly publishers, such as Google, CrossRef, Elsevier, Thomson Reuters, ProQuest, IET, and NLM.

If you have solved a new and important problem in your field or you have gathered and analyzed data about an important engineering process, it is time to share your results with your colleagues. You want to publish your best work in the right periodical to advance progress in your field. This guide will help you get there.

COMBigData2014KnowledgeBase-IEEEXploreSample.png

Question: Should all those PDF files be converted to MindTouch?

See: Online Resources for Authors

Can this be done better in MindTouch?

At some point before the publication of your article in most IEEE journals, you will receive notification that the proof of your article is ready for your review. A proof is the article formatted as it will appear in the journal and on IEEE Xplore. The margins of the proof will include notations to indicate where the copy editor had questions or made changes. For most IEEE journals you will receive an e-mail that will include a unique Web link, a login ID , and password. Once you log in, you will have access to a high-resolution PDF of your article to download and review. You will also find a list of author queries raised by the copy editor. Instructions will be provided on how to mark your corrections and responses to author queries, either on the PDF using Adobe Reader or directly through the Web site used to facilitate author proof review.

COMBigData2014KnowledgeBase-Excel.png

Question: What is the IEEE and the IEEE Xplore Digital Library?

IEEE is the world's largest professional association for the advancement of technology.

I am a keynote speaker whose presentation will be published by IEEE and submtting a paper for an IEEE Big Data Conference.

So how do I find my presentation, how do I prepare a paper for the IEEE Digital Library, and how do I discover a needle in the IEEE Digital Library haystack?

IEEE Xplore Digital Library

http://ieeexplore.ieee.org/Xplore/guesthome.jsp

What Can I Access
You can still search and access abstract records free of charge. 
For access to full text, learn more about subscription options or how to become an IEEE Member.

IEEE Xplore Digital Library Terms of Use
http://ieeexplore.ieee.org/xpl/termsOfUse.jsp#

IEEE and its licensors own all rights, title and interest in the contents of IEEE Xplore including all IEEE journals, letters, magazines, periodicals, transactions, conference proceedings and standards. Access to and use of such content is subject to the terms and conditions of applicable license agreements, United States copyright law and international copyright laws and treaties. Please do not share passwords or documents with unauthorized users.

You can request permission to reuse content by clicking the   button located at the top of each article abstract page.

Terms of Use for Guests and IEEE MembersClick to Close
Guest/IEEE Member users are permitted to do the following:
View and search the content of IEEE Xplore.
Download a document file for personal use only.
Print individual articles from IEEE Xplore.
Guest/Member users are NOT permitted to do the following:
Allow anyone other than a Licensed User to use or access IEEE Xplore.
Display or otherwise make any information from IEEE Xplore available to anyone other than a Licensed User.
Transmit electronically, via e-mail or any other file transfer protocols, any portion of IEEE Xplore.
More information is available in the Personal Digital Library Subscription Terms of Use
My Noye: I looked at this and concluded that I can share the catalog contents but not the actucal documents.

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Data mining with big data

http://ieeexplore.ieee.org/xpl/artic...number=6547630

Abstract
Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

Mining and modelling the dynamic patterns of service providers in cellular data network based on big data analysis
Liu Jun; Li Tingting; Cheng Gang; Yu Hua; Lei Zhenming
IEEE JOURNALS & MAGAZINES
Big Mobile Data Mining: Good or Evil?
Musolesi, M.
IEEE JOURNALS & MAGAZINES
A Data-Mining-Based Methodology for Transmission Expansion Planning
Ferreira, J.; Ramos, S.; Vale, Z.; Soares, J.
IEEE JOURNALS & MAGAZINES
Mining sensor data in cyber-physical systems
Tang, Lu-An; Han, Jiawei; Jiang, Guofei
TUP JOURNALS & MAGAZINES
Artificial Intelligence and Big Data
O'Leary, D.E.
IEEE JOURNALS & MAGAZINES
Puzzling out big data [Information Technology Analytics]
Courtney, M.
IET JOURNALS & MAGAZINES
Big Data and Predictive Analytics: What's New?
Earley, S.
IEEE JOURNALS & MAGAZINES
Finding the Needle in the Big Data Systems Haystack
Kraska, T.
IEEE JOURNALS & MAGAZINES
Secure distributed data-mining and its application to large-scale network measurements
Roughan, Matthew; Zhang, Yin
ACM JOURNALS & MAGAZINES
Mining the (data) bank
Ataee, P.
IEEE JOURNALS & MAGAZINES

Finding the Needle in the Big Data Systems Haystack
http://ieeexplore.ieee.org/xpl/artic...number=6415919

With the increasing importance of big data, many new systems have been developed to "solve" the big data challenge. At the same time, famous database researchers argue that there is nothing new about these systems and that they're actually a step backward. This article sheds some light on this discussion.

Conclusion: I did not find big data this way!

Answer: The Best Way to Get BIG DATA is By Starting Small

I CREATED A SPOTFIRE DASHBOARD

Answer: I Am Going to Submit a Paper

BigData 2014    2014 IEEE International Conference on Big Data
On-Line Paper Submission
Until Jul 13, 2014, 11.59pm *USA Samoa Time*

https://wi-lab.com/cyberchair/2014/b...p?subarea=BigD

Note:
1) Your paper should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines
(http://www.ieee.org/conferences_even...templates.html).
2) Although we accept submissions in the form of PDF, PS, and DOC/RTF files, you are strongly encouraged 
to generate a PDF version for your paper submission if your paper was prepared in Word. 

Manuscript Templates for Conference Proceedings
http://www.ieee.org/conferences_even...templates.html
Although IEEE does not require a specific format for their conference articles, IEEE eXpress Conference Publishing provides these optional MS Word and LaTeX templates free for use. If you wish, you may link to this Web page in its entirety. However, we do not recommend that you link to individual files because they may be updated or replaced without notice.

Grateful acknowledgement is made to the IEEE Computational Intelligence Society, which provided the current LaTeX template. 

Note: Other templates (maintained by trans@ieee.org) that more closely align with the printed Transactions format are available.

Emails

Invitation to Keynote at COM.BigData 2014, COM.Geo 2014, COM.DriverlessCar 2014 in Washington DC in August

Dear Dr. Niemann,

The Federal Big Data Work Group and the Semantic Community you are in charge are very impressive. Those are very important for the Big Data computing area. You are just such an expert and pioneer what we are looking for.

Now we are organizing COM.BigData 2014 jointly with COM.Geo 2014 and COM.DriverlessCar 2014 in DC on August 4-6 (http://www.com-geo.org/conferences/2014/). So now we would like to sincerely invite you to address a keynote on federal Big Data for our conferences and summits. The “Big Data” keynote speakers at our past conferences were from Google, Microsoft, Oracle, NASA, USGS, etc.

The COM.* conferences and summits we organize include COM.Geo, COM.BigData, COM.DriverlessCars, etc. They are the exclusive events that bridge the gap between policy-makers/decision makers and professionals from government, industry, and academia. Our previous invited conference keynote speakers were from White House Office/USGS, NASA, DOD, DHS, DOT, U.S. FCC, Google, Microsoft, Oracle, Nokia, MIT, Stanford, OGC, etc.  The conference committee is composed of a number of computing and geospatial experts from government agencies, academia, and leading industries, such as NASA, DOT, USGS, DOD, DHS, Microsoft, Google, Oracle, OGC, MIT, Stanford, etc.  COM.Geo has been the leading-edge computing for geospatial conferences on the latest computing technologies for multidisciplinary research and development that enables the exploration in geospatial areas.  It has been playing a guiding role to advancing the technologies in computing for geospatial research and application.

So we are wondering if you have time to accept our invitation. Thank you so much for your considerations in advance. I am looking forward to hearing from you soon.

Btw, for more information about myself, please visit here at: http://www.comstar-tech.org/inst_advisory_board.htm . Thanks.

Sincerely,

Lindi Liao, Ph.D.

Conference General Chair

President & CEO

COMStar Computing Technology Institute

Washington DC, U.S.A.

http://www.comstar-tech.org

Response 1

Dr. Liao, Thank you for your kind invitation to keynote at a very impressive event and I accept.

Best regards, Brand

Dr. Brand Niemann

Director and Senior Data Scientist

Semantic Community

http://semanticommunity.info

http://www.meetup.com/Federal-Big-Data-Working-Group/  

http://semanticommunity.info/Data_Science/Federal_Big_Data_Working_Group_Meetup

Response 2

Dear Dr. Niemann,

Thank you for your accepting our invitation. We are very glad to have you to be one of our keynote speakers at COM.* 2014. There will be a lot of innovative cross-disciplinary ideas to inspire at the event. We are looking forward to your insightful keynote speech.

Could you please send a talk abstract and your short bio with a personal photo at your most convenience? Thank you very much.

Btw, we are wondering if you and your colleagues are interested in organizing or participating in the panels, workshops, etc. at the event as well. Please feel free to let us know if you have any questions or need additional information. Thanks.

Best regards,

Lindi

Response 3

Short Bio: Brand Niemann, former Senior Enterprise Architect & Data Scientist with the US Environmental Protection Agency, works as a data scientist, produces data science products, and publishes data stories for Semantic Community, AOL Government, & Data Science & Data Visualization DC. He is the co-organizer of the Federal Big Data Working Group Meetup and the Director and Senior Data Scientist for Semantic Community.

Personal Photo: See Attached

Talk Abstract: See Below

Federal Big Data Working Group Meetup: Data Publications in Data Browsers

The Federal Big Data Working Group Meetup is a broad community of participants focused on big data products for the Federal Big Data Initiative.

Our mission statement is as follows:

  • Federal: Supports the Federal Big Data Initiative, but not endorsed by the Federal Government or its Agencies;
  • Big Data: Supports the Federal Digital Government Strategy which is "treating all content as data", so big data = all your content;
  • Working Group: Data Science Teams composed of Federal Government and Non-Federal Government experts producing big data products (see Possible Team Presentations below); and
  • Meetup: The world's largest network of local groups to revitalize local community and help people around the world self-organize like MOOCs (Massive Open On-line Classes) being considered by the White House.

Our Framework is as follows:

  • Organize a Community of Data Scientists and Related Fields to focus on treating all of your content as "Big Data"
  • Follow the Cross Industry Standard Process for Data Mining (CRISP-DM; Shearer, 2000) consisting of Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment
  • Mine prominent scientific journals for data policy, data bases, and data results that can be reused.
  • Provide data stories and presentation materials for public education and conferences
  • Obtain NSF funding for sustained data science for data publications work over a period of years
  • Provide a Data Fairport with “Data Publication in Data Browsers”

Examples for each of these will be given in the presentation.

Our Meetup presentations focus on answering three essential questions:

  • How was the data collected?
  • Where is the data stored?
  • What are the data results?

Examples of the answers to these questions from our Meetup presentations will be given in the presentation.

All are welcome to participate in our Meetups and learn big data science from tutorials and be mentored in their professional work and proposal writing.

See: http://www.meetup.com/Federal-Big-Data-Working-Group/  and

http://semanticommunity.info/Data_Science/Federal_Big_Data_Working_Group_Meetup

Response 4

Dear Dr. Neimann,

Thank you for your information. The short bio and photo are ok. The talk abstract looks more like the content of a panel or workshop.  May we suggest you organize a workshop on The Federal Big Data Working Group Meetup or other title you prefer? Also, we have some panel discussions on Big Data Computing. Could you come up with one more detailed panel you would like to moderate if you are interested?

Regarding the keynote abstract, for our events, the keynotes focus more on generic topics for all the audience, such as strategies, trends, visions, challenges, etc. Could you revise/summarize it into a 200 or 300-hundred-word abstract? You also could generalize some talks at your previous meetups from your own perspective for your keynote speech.

Please feel free to take your time and send to me at your most convenience. Thank you very much again.

Best regards,

Lind

Response 5

Lindi, Excellent points and my suggested keynote abstract would be:

The Federal Big Data Initiative: Where it has been and where it is going.

Since the White House announced the Big Data Initiative in 2010, there have been a series of activities for government agencies, academia, and industry to participate in to develop data scientists, perform research, and to develop applications, which this presentation will summarize.

The work of the Federal Big Data Senior Steering Work Group, the NSF Big Data Funding Opportunities, and the Federal Big Data Working Group Meetup will be described and specific examples will be shown.

The roles of the Presidential Digital Government Strategy and Open Data / Open Government Policy, the new Congressional Data Act, and the Open Research Data Policy will be described and specific examples of their implementation will be given.

Attendees should be able to see where they might participate in the Federal Big Data Initiative as a result of attending this presentation.

I think that one panel is all I would have bandwidth to do.

Brand

 Call for Papers  2014 IEEE International Conference on Big Data

IEEE BigData 2014 

http://cci.drexel.edu/bigdata/bigdata2014/index.htm

October  27-30, 2014, Washington DC, USA

In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. The IEEE Big Data has established itself as the top tier research conference in Big Data. The first conference IEEE Big Data 2013 ( http://cci.drexel.edu/bigdata/bigdata2013/ ) was held in Santa Clara , CA from Oct 6-7, 2013, 259 paper submissions for the main conference and 32 paper submissions for the industry and government program. Of those, 44 regular papers and 53 short papers were accepted, which translates into a selectivity that is on-par with top tier conferences. Also, there were 14 workshops associated with IEEE Big Data 2013 covering various important topics related to various aspects of Big Data research, development and applications, and more than 400 participants from 40 countries attend the 4-day event.

The IEEE International Conference on Big Data 2014(IEEE BigData 2014) continues the success of the IEEE BigData 2013. It will provide a leading forum for disseminating the latest research in Big Data Research, Development, and Applications.  

We solicit high-quality original research papers (including significant work-in-progress) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity)  relevant to variety of data (scientific and engineering, social, sensor/IoT/IoE, and multimedia-audio, video, image, etc) that contribute to the Big Data challenges. This includes but is not limited to the following:

1.    Big Data Science and Foundations
a.    Novel Theoretical Models for Big Data
b.    New Computational Models for Big Data
c.    Data and Information Qualityfor Big Data
d.    New Data Standards

2.    Big Data Infrastructure
a.    Cloud/Grid/Stream Computing for Big Data
b.    High Performance/Parallel Computing  Platforms for Big Data
c.    Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
d.    Energy-efficient Computing for Big Data
e.    Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
f.    Software Techniques and Architectures in Cloud/Grid/Stream Computing
g.    Big Data Open Platforms
h.    New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
i.    Software Systems to Support Big Data Computing

3.    Big Data Management
a.    Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
b.    Algorithms and Systems for Big DataSearch
c.    Distributed, and Peer-to-peer Search
d.    Big Data Search  Architectures, Scalability and Efficiency
e.    Data Acquisition, Integration, Cleaning,  and Best Practices
f.    Visualization Analytics for Big Data
g.    Computational Modeling and Data Integration
h.    Large-scale Recommendation Systems and Social Media Systems
i.    Cloud/Grid/StreamData Mining- Big Velocity Data
j.    Link and Graph Mining
k.    Semantic-based Data Mining and Data Pre-processing
l.    Mobility and Big Data
m.    Multimedia and Multi-structured Data- Big Variety Data


4.    Big Data Search and Mining
a.    Social Web Search and Mining
b.    Web Search
c.    Algorithms and Systems for Big DataSearch
d.    Distributed, and Peer-to-peer Search
e.    Big Data Search  Architectures, Scalability and Efficiency
f.    Data Acquisition, Integration, Cleaning,  and Best Practices
g.    Visualization Analytics for Big Data
h.    Computational Modeling and Data Integration
i.    Large-scale Recommendation Systems and Social Media Systems
j.    Cloud/Grid/StreamData Mining- Big Velocity Data
k.    Link and Graph Mining
l.    Semantic-based Data Mining and Data Pre-processing
m.    Mobility and Big Data
n.    Multimedia and Multi-structured Data- Big Variety Data

5.    Big Data Security & Privacy
a.    Intrusion Detection for Gigabit Networks
b.    Anomaly and APT Detection in Very Large Scale Systems
c.    High Performance Cryptography
d.    Visualizing Large Scale Security Data
e.    Threat Detection using Big Data Analytics
f.    Privacy Threats of Big Data
g.    Privacy Preserving Big Data Collection/Analytics
h.    HCI Challenges for Big Data Security & Privacy
i.    User Studies for any of the above
j.    Sociological Aspects of Big Data Privacy


6.    Big Data Applications
a.    Complex Big Data Applications  in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
b.    Big Data Analytics in Small Business Enterprises (SMEs),
c.    Big Data Analytics in Government, Public Sector and Society in General
d.    Real-life Case Studies of Value Creation through Big Data Analytics
e.    Big Data as a Service
f.    Big Data Industry Standards
g.    Experiences with Big Data Project Deployments

INDUSTRIAL Track

The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages).

Student Travel Award

IEEE Big Data  2014 will offer as many student travel awards as possible to student authors (including post-doc)  (IEEE Big Data 2013 – 17 student travel awards)


Conference Co-Chairs:
Dr. Charu Aggarwal, IBM T.J Watson Research, USA
Prof. Nick Cercone, York University, Canada
Prof. Vasant Honavar, Penn State University, USA

Program Co-Chairs:
Prof. Jimmy Lin, University of Maryland, USA
Prof. Jian Pei, Simon Fraser University, Canada

Industry and Government Program Committee Chair
Mr. Wo Chang, National Institute of Standard and Technology, USA
Dr. Raghunath Nambiar, Cisco Systems Inc, USA

BigData Steering Committee Chair:
Prof. Xiaohua Tony Hu, Drexel University, USA, thu@cis.drexel.edu

Paper Submission:
Please submit a full-length paper (up to 9 page IEEE 2-column format) through the online submission system.
http://wi-lab.com/cyberchair/2014/bigdata14/cbc_index.php
Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below).

Formatting Instructions
8.5" x 11" (DOC, PDF)
LaTex Formatting Macros
Important Dates:

Electronic submission of full papers: July 1, 2014
Notification of paper acceptance: Aug 24, 2014
Camera-ready of accepted papers: Sept 25, 2014
Conference: October 27-30, 2014

To subscribe to this list, the user sends an email, with blank subject line, to listserv@lists.drexel.edu . In the text box, the user types: subscribe BIGDATA.
To unsubscribe from a list, the user sends an email to listserv@lists.drexel.edu with the message: signoff BIGDATA.   

IEEE Authorship Series How to Write for Technical Periodicals & Conferences

Source: https://mc.manuscriptcentral.com/soc...%20English.pdf (PDF)

http://www.ieee.org/publications_sta...resources.html

As a researcher or practicing engineer, you know how important it is to publish the results of your work. It is not just about career advancement or getting recognition. Publication is a critical step in the scientific process. Your discoveries will foster innovation and help advance technology for public good.

But that can only happen if your research can be read, understood, and built upon by your fellow researchers and engineers.

This guide is designed to help you succeed as an author.

Section 1 introduction

You will learn how to prepare, write, and submit your manuscript for peer review by an IEEE conference, journal, or magazine. We will show you how successful authors structure quality work to improve their chances of being accepted. You will find practical tips on how to select an appropriate periodical or conference, organize your manuscript, write in a clear and grammatically correct style, and work through peer review. You will also learn how to avoid common mistakes and ethical lapses that will prevent your manuscript from being accepted and may damage your reputation.

Publishing is central to the mission of IEEE : to foster technological innovation and excellence for the benefit of humanity. IEEE provides high quality, innovative information by attracting the best authors and supporting them through the publishing process. A Web-based workflow and tools such as reference validation, graphics checking, and templates streamline the submission process. Where you publish matters. Your technology colleagues want to know that the information they cite comes from a credible publication. For over 125 years, IEEE has been a trusted source for researchers in academia, corporations, and government. IEEE conference proceedings are recognized worldwide as the most vital collection of consolidated published articles in electrical engineering, computer science, and related fields. IEEE journals are cited over three times more often in patent applications than other leading publishers’ journals [1]. As an IEEE author, you will both contribute to and benefit from that impact and reputation.

Authors need to find your research in order to cite it. The IEEE Xplore digital library is an advanced online platform containing most of the published material from IEEE Publications and its predecessors. It is designed so that your published work will appear in search results quickly and in the right context. Depending upon the periodical in which you publish, your work will be indexed by organizations that facilitate discovery and connections among scholarly publishers, such as Google, CrossRef, Elsevier, Thomson Reuters, ProQuest, IET, and NLM.

If you have solved a new and important problem in your field or you have gathered and analyzed data about an important engineering process, it is time to share your results with your colleagues. You want to publish your best work in the right periodical to advance progress in your field. This guide will help you get there.

Good luck.

Section 2 Before You Begin

The development of your manuscript will begin long before you begin to actually write your first draft. You should not write just for the sake of publishing or to accumulate citations for your curriculum vitae. If you do, surviving peer review will be a challenge. As you plan your research project, think about how your work will be received and evaluated by your peers.

Ask yourself these questions:

  • Is this an important problem, or, is the data collected and analyzed of interest to the wider community?
  • What has been done in the past?
  • Does this research significantly advance the state of the field?

To answer these questions, you need a solid understanding of the relevant literature.

Conducting Your Literature Search

Your research problem must contribute new and important knowledge to your field. A thorough review of the published literature will help you determine if this is the case. You must be able to show reviewers and readers that you understand what work has been done before, and that your research adds some new understanding to the field.

Some, although not all, of the resources you identify in the literature review will become references in your work. They will be used in the introduction and the discussion sections to show how you are making an important contribution to your field. Finally, a thorough review of the literature will help you select the publication or conference to which you will submit your work, a task you will read more about in Section 5.

The Internet has made it easy—perhaps too easy—to find information. You need a solid search strategy to find the literature that is most relevant to your work. Your first instinct may be to start your search in Google or one of the other general search engines. This approach is likely to generate tens of thousands of results. Some results will be from reliable, citable resources, but many will not. Resist the temptation to “Google it” until after you have used databases of peer-reviewed literature that are more trustworthy and targeted to scientific investigation.

IEEE Xplore® Digital Library

IEEE Xplore offers a robust interface to help you discover and access scientific content from IEEE and its publishing partners. It provides online access to more than three million full-text documents published in some of the world’s most highly cited publications in electrical engineering, computer science, and electronics.

Bibliographic Databases

There are a number of databases experienced engineering writers use to conduct literature searches, including Compendex® and Inspec®. These databases will help you identify references from a broad selection of literature.

Your Institution’s Library

If you are affiliated with an academic or government institution, you are in luck. Your library has invested heavily in resources specifically to help you conduct your research and publish your results. Librarians at your institution are trained to conduct precise searches to answer your questions. They can help you access resources that are available in your library and they will find external documents for you as well. Corporate libraries can also provide excellent resources.

References and Citations

Once you identify a major document that is relevant to your research, check the references. They will lead you to the research that laid the basis for your area of study. Use tools available in platforms such as IEEE Xplore to find works that cite the documents you have identified. These will highlight more recent research results.

Citation Map from IEEE Xplore

CitationMapfromIEEEXplore.png

Taking Notes and Keeping Track

As you search, scan the abstracts and key words. There is no need to read through every document. For each reference you want to include in your bibliography, make note of the original publication source and, if appropriate, the URL location. As you scan the article, take notes in your own words. Keep track of where you got ideas [2]. Even if you do not directly quote a source in your article, you will need to give attribution to the original source material. Making detailed notes now will help you avoid the danger of accidentally plagiarizing someone else’s work. See Section 3 for a complete discussion of plagiarism.

Next Steps

Once you are confident that you have solved an important problem or completed a set of experiments and analyzed the results, and done a thorough literature search, it is time to decide what to include in your manuscript and how to present it. Spend some time brainstorming about your research. What are the three or four fundamental points you want readers to understand and remember once they have finished reading your work [3, 4]? Decide which methods and what data support each of those messages. Which references help you make the case that your work is new and significant? What conclusions can you draw from your research? This exercise will help you decide what information to include.

Draft an Outline

An outline will organize your writing and keep you from going off on tangents. It will help you develop a logical, structured manuscript that will be easily understood by reviewers and readers. It will show the order of topics you will discuss, the relative importance of each, and how they relate to each other.

Most word processing programs have a tool that makes it easy to create and edit an outline. Your outline may use phrases, complete sentences, or a combination of both. Scientific articles follow a standard structure: Introduction, Problem Formulation, Previous Research Relevant to the Problem, Methods or Model and Results, Conclusion (see Section 6). This can provide a useful structure for organizing your outline. Start by brainstorming about all of the ideas and data you want to include. Then group related ideas together. Arrange your information into subsections. Begin with general information and then move to more specific ideas. Then create headings and subheadings for each section.

If you are working with coauthors, the outline can be a useful tool to get agreement on the content and organization of the article [3].

Section 3 Ethics in Scientific Publishing

Of the many steps you will take to successfully publish your work, none is more important than following the highest ethical standards while you conduct and write about your research. You must understand what is and is not acceptable in writing your article. Cutting corners could negatively impact your reputation.

IEEE , and other reputable publishers with whom you will work, do not tolerate fraudulent research and publication. Your submission will be screened, and if you have violated any standards of publication, the consequences can be severe. Depending on the nature of the violation, corrective actions at IEEE can range from a three-year to lifetime suspension of publication privileges, public notice of the violation in the publishing journal and in IEEE Xplore, and referral to IEEE Ethics and Membership Committees.

Follow the guidelines below to ensure that your work is beyond reproach. If you have any questions or doubt about whether information you are including in your article is acceptable, speak with an advisor or an experienced colleague.

Who is an Author?

Authors have very clear roles and responsibilities. IEEE guidelines state that authorship and co-authorship should be based on a substantial intellectual contribution. The list of authors on a work indicates who is responsible. When you and your colleagues are evaluated for employment, promotions, or grants, the quality and quantity of your publications will be a consideration. Therefore, it is critical that the list of authors on your work includes all of those—and only those—who had a significant role in its development.

It can be considered an ethical breach if you omit an author who contributed to your work, or if you include a person who did not have much to do with it. It may be tempting to remove a colleague who is not cooperative, or who has not contributed much. But the colleague could very well file an authorship dispute with the journal. IEEE guidelines require a coauthor’s permission to withdraw their name.

Adding an author who did not contribute significantly to an article is also a violation of ethics. Do not add authors simply to build up credibility. A person who made minor contributions, such as reading and giving feedback, or conducting statistical analysis, should not be on the list of authors. It may be appropriate to include this person in the acknowledgements section of your work (refer to Section 6).

Develop a list of authors that includes a description of each person’s contribution to the project and the writing of the manuscript, then document the reasons for any additions or deletions of authors along the way [5].

Proper Citation of Original Work

Plagiarism

Here is an example: As you are reviewing the literature, you come across a passage that makes a point far better than you have done. You copy it and paste it into your notes. Later, when you are writing your article, you include it verbatim in your text.

Do not do it!

Copying word-for-word what another author has written, or even paraphrasing someone’s original text without proper attribution is plagiarism, and plagiarism can quickly derail your career.

IEEE defines plagiarism as the reuse of someone else’s prior ideas, processes, results, or words without explicitly acknowledging the original author or source. Plagiarism in any form, at any level, is unacceptable and is considered a serious breach of professional conduct, with potentially severe legal and ethical consequences. IEEE guidelines against plagiarism apply equally to periodical articles and conference proceedings.

IEEE Recognizes Five Degrees of Plagiarism:

1. Copying someone else’s entire article, or a major portion of the article (more than 50%) verbatim, without credit to the original author(s) or copying your own previously published work (see Redundant Publication, below).
2. Copying a large proportion (20-50%) of someone else’s work, or your own previous work, without credit.
3. Copying without credit individual elements such as paragraphs, sentences, or illustrations, resulting in a significant portion (up to 20%) of an article.
4. Uncredited paraphrasing of pages or paragraphs from another source.
5. Credited verbatim copying of a major portion of an article without clear delineation, such as quotes or indents.

All sources of information, even those in the public domain, need to be properly cited.

Any ideas you have discovered elsewhere should be cited. It is rare to quote verbatim in scientific literature, but if you must, use quotation marks [3]. Experts recommend that you annotate and paraphrase to avoid plagiarism. Put what you have read into your own words, but even then you must include a citation.

Redundant Publication

Never submit work for review to more than one publication at the same time. Doing so risks being accepted by both publications and, consequently, multiple publications. Multiple publication wastes funds and space, reduces the value of periodicals to readers and libraries, and creates problems with indexing and citation. Submit to your first choice. If the article is rejected, then submit it to your second choice.

IEEE uses plagiarism detection software to screen every submitted article.

It is common in technical publishing for material to be presented at various stages of evolution. For example, early ideas may be published in a workshop; more developed work in conference proceedings; and the fully developed study may be published in a journal. However, IEEE guidelines require that authors fully cite their prior work. Authors must be able to demonstrate significant advances from prior publications. Penalties can include suspension of publication privileges in the journal or the next volume of the conference proceedings.

Copyright

When you publish a regular article with IEEE or most other organizations and professional societies, you will be required to transfer your copyright (ownership of a written work) by way of a copyright transfer form. By owning and maintaining copyright, IEEE is able to (a) protect the intellectual property and (b) make the content more widely available.

Following the transfer of copyright to IEEE, you will continue to have the right to reuse your article as follows:

  • The accepted version of your article is the version which you have revised to incorporate review suggestions, and which has been accepted by IEEE for publication. The final version is the reviewed and published article, with copyediting, proofreading, and formatting added by IEEE .
  • You have the right to post the accepted version of your article on your personal Web site, or on your employer’s Web site, with a copyright notice (e.g., © 2012 IEEE ) displayed on the initial screen.
  • You may use the accepted version of your article in your teaching, training, or work. You must acknowledge IEEE as the copyright holder, and include either a link to the original article on IEEE Xplore or the Digital Object Identifier (DOI), which can be found at the bottom of the first page of the final version of your article.
  • You may follow the mandates of agencies that funded your research by posting the accepted version of your article in the agencies’ publicly accessible repositories. You should credit IEEE as the copyright holder and include a link to the original article on IEEE Xplore or the DOI after the article is published.
  • If you have posted a copy of your article on a preprint server, once you submit the final version to an IEEE publication, you should update it with a prominently displayed IEEE copyright notice. Upon publication of the article by IEEE , replace any previously posted electronic version with either the full citation to the IEEE work with a DOI, a link to the article abstract in  IEEE Xplore, or the accepted version only (not the IEEE -published version), including the IEEE copyright notice and full citation, with a link to the final, published article in IEEE Xplore.
  • Authors of open access articles are permitted to post the final, published version on their personal Web sites, their employers’ sites, or those of their funding agencies.
  • Authors are encouraged to check IEEE Copyright Policies for updates.

Fabrication of Data

Research misconduct undermines the scientific record, destroys the trust that scientists need to verify and build on each other’s results, and may even lead to serious public harm [6].

Of course, honest errors can occur and there can be legitimate differences of opinion about findings. But if you are discovered falsifying results, fabricating data, manipulating images, or engaging in other activity that misrepresents your work, you can expect serious consequences. Your job and your professional standing will be at risk.

Take these steps to protect yourself:

  • Keep meticulous records of your experiments.
  • Retain data records after your work is published.
  • Read the Instructions for Authors for your publication or conference to understand how images should be handled. While it is usually acceptable to resize an image, enhancing an image or altering it digitally rarely is [3].

Section 4 Select an Appropriate Format

There are several different categories of publications. Depending on the stage of your research or the level of information you are presenting, one may be more appropriate than another for your work. Evaluate the message you want to communicate, and then select your format.

Conference or Periodical?

Your first decision will be whether to submit your article to a journal, magazine, or other periodical, or if you should present it at a conference instead. A journal article will be a fully developed presentation of your work and its final findings. In a journal article clear conclusions can be made, firmly supported by the data available. A conference article may be written while you are still in the process of conducting your research. This may be a practical route for disseminating information about your research. Or you may want to obtain informal feedback on your ideas from your peers that you will use to inform your research project. The structure of your article will be similar whether it is a conference or journal article, however, a conference article will be shorter, it may include fewer references, and it is written in less detail.

Full Length, Original Research

Original research results are most commonly reported in a full-length journal article. A journal article will be a fully developed presentation of your work and its final findings. It presents a hypothesis, and then presents evidence to support it. Clear conclusions are made. It tries to persuade the reader of the validity of its arguments [2].

Conference Articles

A conference article may present preliminary results, or highlight recent work. The article is presented at a scientific conference and then published in the conference proceedings. The purpose of a conference article is to obtain feedback on a particular idea, and the writer uses that feedback to inform further research. IEEE guidelines require presentation at the conference.

Typically a student will write and present several conference articles before attempting an original research article.

Reviews

Review articles provide a broad analysis of the research that has been published in a particular area. Although the research is not new per se, the authors will provide new insights or introduce new theories based on their interpretations of a wide body of work.

Letters

IEEE Letters journals provide rapid turnaround for short reports on high impact new results. They provide full experimental detail and references, but are generally four or five typeset pages long.

Section 5 Selecting where to submit

Selecting a Periodical

Do not wait until your article is finished to select your target journals. Make your decision early, while you are still conducting your research or during the early stages of writing. If you know what the journal is looking for, what types of articles it publishes, and who reads it, you will be more likely to develop an article that is appropriate for publication in that journal [7].

It can be overwhelming to select a journal for article submission. You are looking for a journal that will give your article the attention it deserves, by attracting readers who are likely to refer to it in their own work [4]. You want a journal that has a good reputation, so your work will have credibility. And you want a journal that supports you as an author, with an expedient process and tools to help you through the steps of publication. If you do not match your article with an appropriate journal, months may be wasted on a review that does not lead to publication [3].

There are hundreds of engineering periodicals, and probably a dozen or more with some relevance to your research. There are a number of ways to narrow your selection and find the publication most likely to be a good fit for your work. Begin by reviewing the results of your literature search. Which journals publish articles most like yours? Are there journals that came up frequently? These will likely be most closely related to your research topic.

Once you have identified four or five solid target journals, go to their Web sites. The Aims and Scope will provide a description of the types of articles the journal is looking for. Who is the editor, and who serves on the editorial board? Are these people you recognize as leaders in your field? Scan a few articles from each journal. What audience do they seem to be speaking to?

A number of metrics evaluate the influence of a journal. The Thomson Reuters Journal Citation Reports® (JCR) measure various citation factors of journals, including the important Impact Factor. Impact Factor is the average number of times articles from a journal published in the past two years have been cited in the JCR year. Another measure is Source-Normalized Impact per Paper (SNI P), which uses data from the SCO PUS database to measure contextual citation impact based on total citations in a scientific discipline.

It accounts for the fact that fields such as mathematics and engineering tend to have lower impact values than the life sciences. SCI mago Journal Rank (SJR) also uses the SCO PUS data and accounts for both the number of citations an article receives and the prestige of the journals that cite it. While all these metrics are valuable, remember that journals with higher metrics may not necessarily have the right audience for your article.

Determine the length of time it takes for a journal to publish articles. On IEEE Xplore, most journals show the date an article was received, revised, accepted, and published. Consider whether the journal has page charges, or charges for certain types of illustrations. If your targeted journal has these charges, you should have a plan to pay for them, either through your grant, your institution, or with personal funds.

Your goal is to find the journal with the broadest readership, highest impact, and greatest likelihood of publishing your work [7]. The journal with the highest impact factor or the most noteworthy editor may not deliver the best readership for your article. The truth is that high profile journals reject as many as 90% of the manuscripts submitted [2]. Making an inappropriate choice will only mean a substantial delay in getting your research to the audience that needs to hear about it.

Selecting a Conference

There are thousands of conferences held around the world every year. You can search a database of Calls for Articles for IEEE -affiliated conferences. Be sure that your research is a good match for a conference before you submit your article. Pay careful attention to the dates. You must be available to present your findings in person at the conference. According to IEEE Guidelines, articles that are not presented at conferences may be suppressed in IEEE Xplore and therefore are not indexed by or included in Thomson Reuters or Elsevier databases.

Open Access Journals

Another relatively recent option for authors is to choose open access publication for their articles. Open access provides free access to your article online to anyone who may be interested.

Open Access Models

There are several different models:

Green open access

Authors publish in a journal and then self-archive a copy of their publication on their own Web site, their institutional repository, or some other central repository. Depending upon the journal publisher’s policies, the version of the article that is archived is either the final manuscript as submitted to the publisher after revisions, or the final published article. IEEE is considered a “green” publisher by SHER PA-RoMEO (http://www.sherpa.ac.uk/romeo/), a not-for-profit group that tracks publisher policies.

Gold open access

The final published article is made immediately available online by the publisher to anyone who is interested in reading it. The costs of publication are usually supported by fees paid by the author. The author’s funders or institution may support the fee. Some journals waive fees for authors from developing countries.

Hybrid open access

In a hybrid open access journal, an author can choose to make an article freely available online by paying the article processing fee. If an article processing fee is not paid, the article is available to subscribers only.

Open Access Publishing at IEEE

IEEE open access policy supports the principle of providing open access as one way to enhance the dissemination of publicly funded research to strengthen science and engineering, encourage innovation, and serve the greater interests of society. To help researchers gain maximum exposure for their groundbreaking research, IEEE offers a number of options to authors.

IEEE Hybrid Journals

Most IEEE transactions, journals, and letters offer a hybrid open access option, with traditional subscription-based content as well as open access, author-supported content. Most of these journals have an established impact factor and are well-respected. The quality of the review process is the same for open access and traditional articles. Open access articles are published in any format offered by the journal, including print and online.

Fully Open Access Journals

IEEE publishes several fully open access journals. They are dedicated to specific subject areas, publish author-pays articles, and are delivered online only.

IEEE Photonics Journal

The IEEE Photonics Society Publication, launched in 2009, became first fully open access IEEE journal in 2012. The second, launched in 2012, is IEEE Journal on Translational Engineering in Health and Medicine, by the IEEE Engineering in Medicine and Biology Society. Other fully open access journals in development include IEEE Journal of the Electron Devices Society, produced by the IEEE Electron Devices Society, and IEEE Transactions on Emerging Topics in Computing, produced by the IEEE Computer Society.

IEEE Access™

In 2013, IEEE will launch a rapid publication, open access megajournal. This journal is aimed at a broad audience across all IEEE fields of interest, including general readers, specialists, and practitioners. There will be practical articles, as well as research articles. By adopting acceptance criteria of technical relevance and accuracy, rather than scientific importance, IEEE Access will create a publishing home for new authors and will engage readers among the vast number of electrical, electronics, and computer engineers who work in corporations, as opposed to universities. Dr. Michael Pecht, founder and director of the Center for Advanced Life Cycle Engineering at the University of Maryland, is the journal’s inaugural editor-in-chief.

Section 6 Developing your manuscript

Author Responsibilities

As discussed in Section 3, there are very clear guidelines about who to include as an author. Disputes about authorship can lead to ethical inquires. You should decide who will be an author on the work as soon as possible, perhaps even before you begin your research project. Each author has a responsibility not only for the final article, but also for the design and execution of the research [3].

IEEE Publication Services and Products Board Operations Manual (PDF, 1.2 MB) states that authorship credit must be reserved for individuals who have made a significant contribution to the theoretical development, system or experimental design, prototype development, and/or the analysis and interpretation of data associated with the work reported in the article. An author must contribute to drafting the article and reviewing or revising it. Each individual named as an author must approve the final version of the article as accepted for publication, including the references.

One individual must be named as corresponding author. The corresponding author is responsible for submitting the manuscript and managing it through the review and revision process with the publisher. The corresponding author makes sure that all authors are kept apprised of the current status of the work.

Divide responsibilities among authors. Designate the best writer to draft the more textual parts of the work, such as the introduction, summary, and conclusions [2]. Other authors can take responsibility for the problem formulation and results.

IEEE leaves the order of authors to the discretion of the authors. Typically, the first author listed is the person who has taken the most responsibility for the work. Other authors are listed in order of the level of their contribution. Sometimes, the senior author is the head of the department and is listed last. Colleagues who have contributed in a non-significant way, by reviewing the article and providing feedback, for example, can be thanked in the acknowledgements section.

The First Draft

The hardest part of writing can be simply getting started. Experts recommend that you set aside time in your calendar for writing and set deadlines to stay on track. Find a quiet place and avoid interruptions. If you cannot think of the right word or you have forgotten some detail you need, do not stop to look it up. Type a placeholder such as “xxxx” or make a note using the comments feature of your word processing program. Later you can search your document for your placeholders to fix them. To maintain your momentum, do as Ernest Hemingway did: he wrote the first paragraph of the next chapter before he would stop for the day. It will give you a jump start in your next writing session.

When you are writing the first draft, do not focus so much about style or grammar. You will revise your work several times after you have written the first draft. In Section 7 you will find tips and guidance for making sure your writing is clear and grammatically correct. Follow your outline, but be open to revising it as you go along. Some ideas may become less relevant to you or your coauthors once you begin putting your article together, and new ideas will emerge.

Where to Begin Writing

Scientific and technical articles typically follow this format: Abstract; Introduction; Previous Research; Problem Formulation; Model or Methods and Results; Conclusion; References; Acknowledgements. Each section plays a different role in explaining why your research presents a new and important problem, what has been done before, and how your research substantially advances your field, as discussed in Section 2.

Many inexperienced writers start writing with the abstract. Then they move on to the introduction, the methods and results, and the conclusion. But the core of your article is the problem formulation and the methods you used to solve it. This is where you describe your unique approach to the problem and how you developed it. Because this is the material that is most familiar to you, it makes sense to start your writing with this section [8]. You can then move on to your results. Most experienced writers recommend that you write the introduction next, and then your conclusions. The abstract should be written last. After you have drafted all of the sections, you should revisit your working title to be sure it accurately represents your final work. Acknowledgements and references can be completed after the article is written.

Sections

Title and Index Terms

The purpose of your title is to grab the attention of your readers and help them decide if your work is relevant to them. As you write, develop a list of keywords that will attract your intended readers. Use these keywords towards the beginning of your title [2]. Use words that help the reader understand why your work is different from previous studies [8]. Keep your title concise. Some journals set a limit on the number of words in a title. Avoid unnecessary words. You may want to develop a list of possible titles as you develop your article, then select the best one [2].

For IEEE journals, you must provide a list of index terms or keywords that reflect the content of your article. You can select your terms from the IEEE taxonomy My Note: Page Not Found, Then Found (PDF, 375 KB). Abstracting and indexing services and search engines use the article title and index terms to help readers find your article. Think about how you would search for your article. What search terms would you use [7]? Let these terms guide your selection of index terms and the development of your title.

It is important to get your title and index terms right so that your article appears when engineers and researchers are conducting searches in your area of expertise.

Abstracts

The abstract is the last section of your article to be written because it is a condensed version of the entire article. It includes the key points of the introduction, methods and results, and conclusions. An abstract is generally 100–250 words long. It is written in the past tense. An abstract should not include references; use the background and conclusions to help frame the context of your work [9].

Readers will use the abstract to decide if your article is relevant to them. Use keywords and index terms in your abstract to capture reader interest and improve the likelihood of your article appearing in relevant searches [3]. Readers who find your article through an abstracting service may never see the rest of your article. Be sure the abstract conveys why your research problem is important and how your work moves the field forward. Reviewers also look at the abstract first. Strive to make a good impression with your abstract to engage their attention.

Introduction and Published Research

The Introduction serves to help the reader understand our three key questions: Why is this a new and important problem? What has been done before? How does your research bring significant new understanding to the field? The reader should find enough information to understand why your research was necessary, without having to refer to other source material or published works [7]. The introduction should be concise, no more than one or two pages. It is written in the present tense.

Your introductory paragraph should start with what is generally known about your subject. Then move step by step through more detailed information, ending with a description of the specific problem or hypothesis your article will discuss. Try to use an attention-grabbing statement to hook the reader [10] while being careful not to sensationalize your results.

In the next few paragraphs, refer to the published research to show what is already known about your subject and why your work is needed. Do not try to include everything from your literature review. Your goal is to orient the reader to the most relevant studies. Explain how each earlier study relates to your own approach to the problem. Does it have limitations? Does it make different assumptions [11]? Show your readers how your study builds upon or is different from this existing work. If you have published an earlier version of your work, for example as a conference or journal article, you must explain how the current study builds upon your own prior work [3].

After you have explained the historical context of your work, introduce your hypothesis and provide a general description of the results you have obtained. You will flesh these out more fully later in the article, but providing an overview here motivates your audience to read on. At the end of your introduction, tell the reader how the article is organized. This will allow readers to move to sections of particular interest, if they wish.

Problem Formulation and Results

The Problem Formulation, or Methods, section should be the first part of your article that you write. In this section, you describe the methods that you used to solve the problem, or prove or disprove your hypothesis. It includes a detailed description of the problem, defines all the terminology and the notations used, and develops the equations you used for reaching a solution. In some fields, for example, biomedical engineering, you may have to describe the materials and methods you used in your experiments.

The section should be written objectively, without analysis or interpretation. The level of detail should be enough to allow a reader to replicate your work. Reviewers and readers will evaluate this section to determine if your methods were appropriate to obtain the data you report in the results section of your article. Include only the most significant equations in the body of your article; detailed derivations can be described in the appendices [12]. Equations are numbered sequentially, and referred to in the text by their reference number.

Write the Results section of your article next. Here is where the reader or reviewer will determine if you have in fact found a better solution than previously published work. If your work is analytical, you will show results obtained from your equations; if it is experimental, then you will show experimental measurements [13]. The results will demonstrate that you have developed a new solution to a problem, and that your work is a significant advance over what has come before. The results should be clear and concise, and figures or tables will typically be used to illustrate your findings.

In some journals and disciplines, the results are presented as raw data, without interpretation. In others, results and discussion are combined. You should review representative articles in your targeted periodicals to determine which approach is preferred. In the discussion, you will interpret your results.

You should acknowledge any limitations of your study, and be absolutely certain about your conclusions.

Conclusion

This section should explain what your research has achieved, as well as the benefits and shortcomings of your solution. It is similar to the abstract, but it can provide more detail. Remind readers of the key points of each section of your article. Then provide a summary of the main findings you have reported, the important conclusions that can be drawn, and the implications for the field. You should also discuss the benefits and shortcomings of your approach, and suggest future areas for research [11]. A well-written conclusion can also help when writing the abstract.

Illustrations

Tables, graphs, and figures in your article will help clarify your ideas and support your conclusions. A figure can quickly show ideas or conclusions that would require a lot of explanation in the body of your work [12]. Because readers frequently scan the illustrations in an article without first reading the text, they should be self-explanatory. Table titles and graphic captions should help the reader understand the data. While illustrations can appear anywhere in the article, they are typically used in the results section.

Preparing your illustrations can help clarify your ideas and support your arguments. The process can make writing easier, and for that reason, you should begin thinking about your illustrations early in the process [2]. Decide which ideas or methods would be effectively presented by illustration and what format best conveys the information. A table is effective for presenting repetitive data or when it is important for the reader to see the exact values. A graph can show the relationship between data points or trends in your data.

Think carefully about how you want the illustrations to look. Be sure they are readable and easy to understand. Use thick lines and be sure that your labels are large enough to be read. Most journals charge for the use of color in printed journals, so think about how the illustration will look in black and white or greyscale. A poor image cannot be improved in the production process, so be sure that the image you submit is of high quality. Design your table or graphic to fit in the column format used by your target periodical.

Resist the temptation to include too many illustrations. Each figure should be essential to your story. A good piece of advice is to ask someone who is not directly involved in your field of research to review your illustrations to see how well they communicate your message [2].

IEEE provides a number of tools, guidelines, and frequently asked questions to help you prepare your artwork for submission to IEEE Xplore. You can find them in the IEEE Author Digital Toolbox under “Preparing Your Graphics or Multimedia Materials.” You will also find a tool to check that your artwork meets IEEE publication standards .

References

References demonstrate to the reader that you have done your homework. They show that you have researched the work that has been done. They support your argument that you have found a new and significant approach to a problem. They help you make a case for the importance of your research question.

Experts say that there are more mistakes in the reference section of an article than any other section [7, 3]. It is meticulous work, but keeping your references accurate and complete will help demonstrate the quality of your work when it goes through peer review. It will also allow your research to be more effectively used by those who come after you.

Cite only those references that directly support your work. Do not include references from “big names” just to build credibility. Try not to cite material that has not been vetted by peer review, such as theses, abstracts, and dissertations. After you have drafted your article, be sure that every reference that appears in the text has a citation in the reference section, and that every citation in the reference section is used in the text. Check your reference list against the original source material. Be sure that each part—authors’ names, the article, the name of the journal or book, the page numbers, etc.—is correct.

There are a number of different formats used by journals for references. Check the Instructions for Authors for your journal and be sure you follow the style it requires. If you do not, it is likely that your submission will be returned to you. IEEE journals generally follow a citation number system.

The first source cited is assigned number 1; the second source is assigned number 2; and so on. Later citations to a source use the original number no matter where they appear in the text. The IEEE citation reference style (PDF, 319 KB) is supported by a number of reference manager software tools. These tools can help you easily record and use citations.

If you do not have access to a reference management tool, use the author’s name and year of publication in parentheses as your in-text citation while you work on your article. As you make revisions and move text around, it will be easier to keep track of your references than using a numbering system. When you are working on your final revision, replace the in-text citations with numbers.

The IEEE Reference Preparation Assistant is an automated tool that validates references against both the IEEE Xplore and CrossRef databases to ensure successful online linking. You should use the Assistant before submitting an article to IEEE .

Authorship Footnote, Acknowledgements, and Author Bibliography

In most IEEE journals, an unnumbered footnote appears on the first page of the article. It includes the date you submit your article (the date of revision and acceptance will be filled in later). This is also where you should disclose any financial support. The affiliations of all authors are included here. In the Acknowledgements section, recognize individuals who provided technical or other assistance to your work but who do not qualify to be included as authors, as discussed above. Examples are a statistician who helped with analysis or a graphic artist who created images. You might also include colleagues who reviewed your article prior to submission or who gave you other feedback on your research.

Most IEEE journals provide space for author biographies at the end of an article. The biography includes a photograph of each author and his or her educational and work background..

Formatting Your Article

Follow the Instructions for Authors

Every journal has guidelines or instructions for authors published in the journal or on the journal’s Web site. You can usually find the document in the first issue of a volume year. Follow these guidelines closely or your article may be returned to you. The guidelines include technical specifications for preparing your article, including the format (e.g., type size, font, headings, column width), article length, instructions for handling figures and tables, and reference format.

LaTeX vs. Word

LaTeX is a document preparation system designed for technical and scientific communication. It produces professionally typeset documents. With LaTeX, you do not format as you type. Instead, you write in a plain text file and enter commands to indicate where text needs to be styled in a particular way (e.g., title, section heads, figures, and captions). The software creates a final typeset output.

LaTeX handles equations particularly well. In Word, you must use the mouse to insert mathematical symbols. In LaTeX, you type the equations on the keyboard using commands to indicate the correct formatting. Because you are entering plain text, editing a LaTeX document can be easier. Figures are correctly placed. LaTeX can automatically generate references and indexes. Another benefit is that it is available free of charge.

LaTeX has a learning curve and is highly customizable, but it is recommended that authors avoid customization as much as possible in order to minimize errors in the production process that can be caused in the conversion of a file from a custom to standard version of LaTeX.

Word can produce a reasonably professional document with very little training. You can see how your document will look as you are writing it. It also includes features that can help in editing your article, such as spell check and grammar check.

IEEE Templates

IEEE Author Digital Toolbox includes a number of tools and information to assist with article preparation, including the IEEE Style Manual My Note: File Not Found, Then Found (PDF, 319 KB) , with editorial guidelines for publishing in transactions, journals, and letters. You will also find the IEEE taxonomy, a reference preparation assistant, and a tool to check your PDF to ensure it complies with IEEE Xplore requirements.

Use the Templates for preparing your articles for submission in either LaTeX or Word. Most, but not all, IEEE journals use these templates. Check the home page of your individual journal for any special requirements.

Guidelines for conference articles can vary depending on the organizer. IEEE offers a number of templates for conference organizers . However, you should refer to the conference Web site for specific instructions.

Whether you use Word or LaTeX to prepare your work, you should follow the instructions you will find in TRANS -JOUR. DOC or TRANS -JOUR.PDF in the toolbox. If you are using Word, you should use the .doc version of the template to prepare your article. Either type directly into the template, or cut and paste from another document. Your text will automatically appear in the IEEE double column format. The template and instructions will show you how to properly format section headings, import and size your artwork, and check that your graphics are suitable for an IEEE publication. Depending on the publication, artwork can either be placed within in the text, or at the end of the article. IEEE will do the final formatting of your article. The template also includes information on formatting for references and equations, units, and IEEE editorial policies. You should delete the instructions text before you save the final version of your article.

Section 7 Improving and Revising

When you write the first draft of your article, do not be overly concerned with grammar and format. No one writes a perfect first draft. You will go through a number of revisions to make your article clear, concise, and readable.

It helps to read a lot of articles in your discipline. After a while, you will begin to understand what makes a good article stand out. Every discipline has a unique way of expressing ideas or concepts, and you will learn how to write in the language of your field [4].

Good science is what is most important in your article. But if your article is poorly written, then the Editor and reviewers may not be able to appreciate the full impact of your work. An article with serious grammar, language, or spelling problems may be returned for editing before it is even thoroughly reviewed. Revise your article, and then revise it again. Do not let your writing detract from the science.

How to Revise

Set your article aside for a few days after you have completed the first draft, so you can return to it with a fresh eye. Read all the way through it first, without changing anything. Some people prefer to read a printed version. You may find it helpful to read the article aloud during a later revision cycle. This will help you spot missing words, incorrect use of words that sound the same but have different meanings, and other grammatical errors that can be overlooked in print. Keep an original copy of your first and all subsequent drafts. As you go through many rounds of revisions, it may be useful to refer back to your earlier work.

On your first pass, identify areas where there are obvious problems with the scientific content. Take notes but do not correct anything. Then go through and resolve each problem you have found. Then review your work again. Once the science in order, move on to editing the structure and language[4].

Does the order of your presentation make sense? Try rearranging some sections to improve the flow. Be a strict editor. Remove any information that does not support your key messages. Is every table and graph you have included necessary? Remove any that are redundant or that do not communicate an important result. Would an additional illustration clarify a result? Finally, review for usage, spelling, and grammar. Do not rely solely on the spell checker in your word processing program.

Polishing

Outlined below are some common best practices and errors typically found in engineering articles. However, there are many outstanding references for editing guidance. See the IEEE Style Manual My Note: File Not Found, Then Found (PDF, 319 KB) for specific editorial guidelines for IEEE journals, transactions, and proceedings. For spelling, IEEE uses Webster’s College Dictionary, and for additional grammar and usage help, refer to The Chicago Manual of Style, published by the University of Chicago Press.

Making Your Article Interesting to Read
  • Write in paragraphs, not long blocks of text [12]. Every paragraph should have a topic sentence, supporting sentences that build on that key message, and a summary sentence. Vary the length of your paragraphs to make your article easier to read. Think about the transition from one paragraph to the next. Is there a logical progression?
  • Write clear, simple sentences in the form of noun-verb-object. Varying sentence length can make an article more engaging. Compound sentences add variety and are useful for comparing ideas [12]. Every word in a sentence should contribute something; eliminate unnecessary words.
  • Avoid the passive voice, in which the subject is acted upon. In the active voice, the subject performs the action. “It was hypothesized,” is passive; “We hypothesized,” is active. The active voice is more interesting and less ambiguous. Edit passive sentences to active sentences as much as possible.
  • Write in the first person (“I,” “we”) to make it clear who has done the work and the writing. It is particularly helpful when you are comparing your work to someone else’s work [3].
  • The abstract and the methods section will be written in the past tense, because they describe work that you have already done. The Introduction and Discussion section are usually written in the present tense, because they describe knowledge that currently exists.
Syntax

Syntax refers to how words are arranged in a sentence, and how they relate to each other. Many of the problems found in scientific articles relate to syntax. These errors can be particularly confusing:

Introductory phrases

Avoid unnecessary phrases such as “Obviously,” or “As previously mentioned.” Don’t use “This” at the beginning of a sentence. It can be ambiguous.

Subjects and verbs must agree

Singular nouns require singular verbs and plural nouns require plural verbs: “The engineer says,” “The engineers say.”

Misplaced and dangling modifiers

Modifiers are words or phrases that provide a description in a sentence, but when they appear in the wrong place they can be confusing. A misplaced modifier is incorrectly separated from the word it modifies. Do not say “Reading the Aims and Scope, the journal would be a good fit for my article.” Say “Reading the Aims and Scope, I realized the journal would be a good fit for my article.” A dangling modifier modifies an unintended word because it is in the wrong place in the sentence. Do not say “The engineer wanted a cold glass of water;” say “The engineer wanted a glass of cold water.”

Use Words Carefully and Correctly
  • Do not use slang in your article. Be cautious about using technical jargon that may not be understood by an international audience outside of your immediate subspecialty.
  • The words “that” and “which” are often confused. Restrictive clauses are essential to the meaning of the sentence, and use “that.” “The article that was written by Prof. Smith was accepted by the journal.” If you take out the words “that was written by Prof. Smith,” you are no longer referring to a specific article. Use “which” when the phrase can be left out. It is usually set off with commas: “The article, which was accepted by the journal, was written by Prof. Smith.”
  • Avoid abbreviations if possible. If you do use one, define it in parentheses after the first use of the phrase.
  • Use simple, common words: “start” instead of “initiate.” “Use” instead of “utilize.”
  • Try to avoid “lazy” verbs such as demonstrate, exhibit, present, observe, occur, report, and show. Use your word processing program to find these words in your document and find a different way to express your idea [2].
  • The IEEE Style Manual My Note: File Not Found, Then Found (PDF, 319 KB) , section VI, details some mistakes common to articles in engineering. “Data” is plural, not singular. Use the word “alternatively” to present an option, not “alternately,” unless you are actually discussing something that alternates. Do not use the word “issue” when you mean “problem.”
Punctuation
  • Semicolons, colons, and dashes should be used sparingly in scientific articles.
  • Use commas to add clarity and emphasis.
  • The possessive singular of nouns is formed by adding an apostrophe: engineer’s article.
  • Use a series comma after each term except the last.
  • Do not use double parentheses in text, but do keep them in math.
Measurements and Numbers

Refer to the IEEE Style Manual My Note: File Not Found, Then Found (PDF, 319 KB) .

Tips for Non-English Speakers

Editors want their journals to reflect the global contributions of science and are generally receptive to reviewing contributions from non-English speakers. They will be interested in your article if it presents a good and important problem that significantly advances the field. The rules are the same for all writers: submit an organized, interesting, and clearly written article. If your article is poorly organized, or if the science is not good, publication is less likely [7].

Write in a clear, matter-of-fact style. Avoid a narrative or story-telling approach. Include the most relevant published research, but do not provide a lengthy historical overview.

Pay attention to structural differences that might make your meaning hard to understand. As discussed earlier, you should write in the first person (“I” or “we”). The first sentence in a paragraph states the main point, and the remaining sentences present information related to that point. In English, the subject comes at the beginning of the sentence, followed by the noun and the object. Other languages may, for example, place the verb at the end of the sentence. There are also differences in the use of punctuation such as commas and quotation marks.

It is not acceptable to copy someone else’s writing in English language journals. Put other people’s ideas into your own words, and use a citation to show where the idea came from. If you are quoting someone word for word, you should use quotation marks. Do not cut and paste someone else’s writing into your article.

If possible, ask an English-speaking colleague to review your article for language and grammar. Never use an online tool such as Google Translator to translate your writing into English. Such tools do not translate accurately. In general IEEE editorial staff will work with you to correct or question grammatical errors, obvious inconsistencies or omissions, spelling, and punctuation. But they will not edit technical content or writing style. For a fee, the IEEE English-language editing service will work with you to improve the clarity and organization of your article.

Internal Review

Your coauthors should review drafts and revisions because they have equal responsibility for the article. When you are confident that your article is grammatically clean and well-structured, it is time to ask internal colleagues and/or your department head to review your article. Ask these reviewers to check that your methodology is appropriate and that you have interpreted the data correctly. In addition to asking colleagues who are very familiar with your field of study, consider getting a review from someone outside your discipline. An outsider will be able to tell you if your article is coherent and easily understood.

Section 8 Submissions

Before you submit your article to a journal or conference, you should do one last, thorough review of your work.

Review the Instructions for Authors, found on the journal or conference Web site or in an issue of the journal (typically in the first issue of the year). Check that your article adheres to the guidelines for reference style, headings, and illustrations. Proofread one last time. Check again that every citation in the reference section is cited in the text, and that every text citation is included in the list of references. Check that every figure and table is accurately cited in the text.

Cover Letter

Your cover letter is your first chance to make a good impression on the journal editor (conference article submissions do not require a cover letter). Help make the editor’s job easier by explaining how your article fits the scope of the journal [4]. Discuss how your article addresses a new and important problem, and how it advances the field. Confirm that the work is original and that it has not been submitted to any other publication. It should be brief and business like. Check the journal Web site to be sure you have the name of the current editor, and use it in the salutation.

Your cover letter should include
  • The name of the journal you are submitting to, because editorial offices may handle more than one journal.
  • The title of your article.
  • The name and current place of employment of each contributing author.
  • The corresponding author’s full contact information, including address, fax number, phone number, and e-mail address.
  • An explanation of any special requirements, such as special features or unusual length.

Journal Submissions

Many journals now require electronic article submission. Most, but not all, IEEE journals use the ScholarOne Manuscripts system. Electronic submission saves time, money, and effort for everyone. Authors do not have to submit multiple copies of the article and artwork, and the system automates the review process to make it more efficient.

It can take an hour or so to enter all the data about your article and upload your files. You can pause and save the work you have already done. Have all the information you will need at hand: cover letter and article file, the names and affiliations of your co-authors, the illustrations, and the names and contact information for your preferred reviewers (see Section 9).

To access the ScholarOne site for your journal, go to the journal’s homepage in IEEE Xplore and click on the “Submit a Manuscript” button.

If you have not done so, you will be prompted to establish an account. You will first enter the title and abstract for your article. Next you will enter the keywords or index terms you selected when you were writing your article. You will enter the names and affiliations of all of your coauthors, and then the names and contact information for at least two preferred reviewers. You can upload your cover letter, or type it directly into ScholarOne Manuscripts. Then you will upload all documents for your article: the manuscript and, if relevant, separate files for the images and any ancillary documents. Upon completion of the submission process in ScholarOne Manuscripts, you will be asked to electronically transfer copyright to the IEEE though the use of the IEEE eCopyright Form .

ScholarOne Manuscripts allows you to track the progress of your article through the peer review process. After your article has been reviewed and accepted for publication, and after you have made any necessary revisions, in most cases you will be instructed to return to your ScholarOne Author Center to upload your final article for production.

ScholarOne Manuscripts provides training and troubleshooting information for IEEE authors.

Conference Submissions

Guidelines for submission of an abstract and/or article to a conference for peer review vary widely depending upon the conference organizer. Follow the instructions on the organizer’s Web site.

IEEE works with the organizers of the more than 1,200 sponsored and affiliated conferences to ensure that all articles submitted for publication on IEEE Xplore and the Computer Society Digital Library meet a minimum standard for print and electronic publishing. IEEE eXpress Conference Publishing and IEEE Computer Society Conference Publishing Services provide tools and templates so that authors can correctly format their PDF documents for publication and properly assign copyright. You will receive instructions from your conference organizer.

Remember that your article may be excluded from IEEE Xplore and the Computer Society Digital Library if you do not appear at the conference to present your article.

Section 9 Peer Review

In the peer review process, qualified individuals evaluate the quality, relevance, and appropriateness of an article for a particular journal. Peer review improves science. It confirms that published work has been tested and validated.

Peer review offers an opportunity for your work to be evaluated by your peers. The peer review process will almost certainly provide feedback that will improve your work and make your article stronger. Although some feedback can be disheartening, be open to the reviewers’ comments and consider how you can construct a more valid and convincing argument as a result.

All scientific articles and communications published in regular IEEE periodicals are reviewed by at least two referees who have experience in the area of the subject matter of the article. IEEE also requests that conference organizers implement a process for review by independent referees who are knowledgeable in the subject area.

How Peer Review Works

While the journal editor-in-chief is responsible for the content of the journal, many journals have associate editors who handle the peer review process for certain subject areas. After you submit your article, a first pass will be done to determine if it is within the scope of the journal, readable, and that the quality of the science presented is acceptable. A very poorly written article, or one that is simply not relevant to the journal, is likely to be rejected at this point.

As part of the submission process, you will be offered the opportunity to recommend potential peer reviewers for your article. You should nominate individuals who you know will understand your research and the related literature. The associate editor may select one or both of your recommendations for review or may choose other reviewers from the journal’s network. At least two reviewers will be assigned. Reviewers maintain anonymity from the authors.

A reviewer will evaluate your article to determine:
  • Does it address a new and important problem?
  • Is the material original?
  • Are the methods and rationale valid?
  • Do the conclusions make sense?
  • Is it clearly written?
  • Do the illustrations, tables, and charts support the text?
  • Are the references current and relevant to the subject?
  • Is the content appropriate, in scope and level, for the journal [9]?

The reviewers will recommend whether the article should be published as is, or if changes would improve the science as it
is presented. The editor-in-chief will weigh the comments from the reviewers before making a final decision. If the reviews are mixed, the editor-in-chief decides whether to publish the article, and decides which revisions recommended by the reviewers will be passed back to the author.

A word about the timing of reviews: Most editors-in-chief, and all reviewers, are volunteers. When reviewers are approached to do a review, they are asked if they have adequate time in their schedule to meet the deadline. Despite this, a reviewer may miss a deadline if his or her own work interferes. Some delay is not unusual.

Review Outcomes

Most articles that are submitted for publication are rejected. The top journals can reject 90 to 95% of all submissions. Just because your article is rejected does not mean that you should consider abandoning your research or discontinuing your efforts to publish. The review process may give you some guidance about how to improve your writing, or additional experimental work to do, to improve the likelihood of acceptance in the future.

There are three possible outcomes to the review. You should read the communication from the journal carefully to be sure you fully understand the status of your publication:

Accept as is: This is extremely rare. Very few articles will be accepted without the need for any editing or revision.

Modify your article: This can take a few different forms. Your article may be “accepted with modifications.” This means that if you make the changes recommended, your article will be accepted and published. You may be asked to make some editing changes, add additional references, or check some calculations, for example. Alternatively, you might be informed that you should “modify and resubmit” your article. The science in your article may have been interesting, but there are some shortcomings that need to be addressed. If you address these concerns, you are encouraged to resubmit your article to the journal. It may or may not undergo additional review.

Rejected: If there is no encouragement to revise your article and resubmit it, then it was deemed unsuitable for the journal. This does not necessarily mean that your article is flawed. Remember, some journals reject up to 95% of the articles submitted. It is possible that your article just has not met a particularly stringent set of requirements.

Here are some reasons for rejection
  • The content is not a good fit.
  • There are serious scientific flaws—inconclusive results, incorrect interpretation.
  • It is poorly written.
  • It does not address a big enough problem or advance the scientific field.
  • The work was previously published.
  • The quality is not good enough for the journal.
  • Reviewers have misunderstood the article.

Response Letter and Article Revision

If the journal recommends that you revise your article, you will receive a list of the specific concerns and issues from the reviewers. Do not let this discourage you, and do not take the criticisms personally. Remember, editors-in-chief and reviewers want to help you publish good science. When you receive the reviewers’ comments, do not respond immediately. Put them aside for a few days, while you think about what your response should be and what you may need to change.

Evaluate the feedback you receive. No author is right 100% of the time, and neither is any reviewer [4]. It is possible that a reviewer misunderstood something in your article. There may be conflicting comments from different reviewers. However, if all reviewers agree on a particular point, there probably is a valid concern. Some comments may be relatively minor.

Go through your article, point by point, to address the issues raised in the reviews. Keep detailed notes about the changes you have made or additional work you have done. Your response letter should be polite, respectful, and detailed. Be sure to address every reviewer comment. It does not make sense to pick fights over minor edits. But if you believe a criticism is not valid, provide a strong, assertive rebuttal and support your comments with a literature reference, if possible [3]. Remember, the editor and the reviewers are volunteering their time—thank them for their comments.

If Your Article is Rejected

If your article is rejected, try to understand the reasons. Was it out of scope? Then you should go back to your original list of target journals and find one that is better suited to the content and level of your work. If there were serious flaws in the science, or if you did not provide enough new information to warrant publication, then you have additional work to do before you can rewrite and submit the article to another journal.

Peer Review—An Editor’s Perspective

In an editorial in IEEE Signal Processing Magazine [14], 2012–2013 Signal Processing Society President K.J. Ray Liu asks, “Some say that peer review is not perfect, but it is the best system our journals have. Is that so?” An associate editor, who selects the reviewers and then must make an informed, fair decision based on their feedback, has a difficult job since every reviewer has a different viewpoint. Prof. Liu notes that an explosion in article submissions, leading to a shortage of qualified reviewers, has made the associate editor’s job even more challenging. In response, the IEEE Signal Processing Society has introduced systematic training for associate editors. Associate editors must be senior enough, with technical authority, to be able to make timely and informed judgments. They must be well connected with a wide network of potential reviewers who can conduct a fair review. “Qualified and trained associate editors are essential to the success of the peer review process,” says Prof. Liu. He concludes that “peer review is the best system our journals can have, only if we do it right!”

Section 10 The Final Steps

You have revised your article and returned it to the editorial office. In the near future it will appear on IEEE Xplore alongside the most significant articles published in your area of research. There are a few final steps you will take, however, before your article can be published in print and online. And the appearance of your article in print and online is not the end of the story.

Reviewing Page Proofs

When you submit the final version of your article to the journal, it may be copy edited. A copy editor will correct any grammatical and spelling errors. The copy editor will also question anything that is inconsistent or doesn’t make sense. These questions are referred to as author queries.

At some point before the publication of your article in most IEEE journals, you will receive notification that the proof of your article is ready for your review. A proof is the article formatted as it will appear in the journal and on IEEE Xplore. The margins of the proof will include notations to indicate where the copy editor had questions or made changes. For most IEEE journals you will receive an e-mail that will include a unique Web link, a login ID , and password. Once you log in, you will have access to a high-resolution PDF of your article to download and review. You will also find a list of author queries raised by the copy editor. Instructions will be provided on how to mark your corrections and responses to author queries, either on the PDF using Adobe Reader or directly through the Web site used to facilitate author proof review

This is not the time to add new information or make any substantive changes to your article. Any material you add now has not gone through peer review and cannot be published except in the most extraordinary circumstances. You should review the proof to correct the rare error that you missed when you prepared the final version of your article, and any errors that were introduced in the formatting of your article. You will also have to respond to each author query. Finally, you will review the tables, charts, and illustrations and the citations and references.

You are responsible for the quality control of your article [7]. Check your proofs carefully. Even though the process is largely electronic, errors can creep in. So review the proof word by word. Pay careful attention to numbers. As suggested in Section 7, it is good to read the text out loud, or to have someone else read it out loud while you follow along. If you can, ask someone who has not been involved in the article to review it.

Check to see that your illustrations are placed properly within the text and are not upside down or sideways and that the reproduction is acceptable. Is the quality of the photographs satisfactory? Are they too light or too dark? Review the captions, headings, and labels.

Take the time to review your proofs carefully, but do it promptly. Most journals request that proofs be returned within 48 hours. Your article may be slated to appear in a specific issue of the journal, and adhering to the deadline set by the publisher will prevent any delays in publishing your article.

Page Charges, Reprints, Open Access Fees

Some business issues are usually handled during this phase of publication. When you receive your proofs, you will also receive an invoice for any page or color charges you have incurred. You will also get a form to order reprints. Article reprints are used less frequently now that articles are widely available in electronic format. You may want to order 100 or so to send to countries where Internet service is less reliable, or to include in presentation packets. Note that open access fees are collected upon acceptance of the article.

Publication

Once you have returned your proofs, the publisher will make corrections. Depending on the journal, your article may appear online in advance of publication in the print journal. Some journals post articles to IEEE Xplore as preprints, within one to three days of acceptance. Others post final articles in an Early Access section of the journal or directly into the issue in which the article will appear in print. E-mail trans@ieee.org or your staff editor to find out when your article will appear. You may receive a printed, bound copy of the issue in which your article is published. Some journals provide printed copies for coauthors as well; check the Instructions for Authors to find out if your journal does so.

Discoverability of Your Article

Your article is now available to be read and cited by your peers. But to do so, readers must be able to find it. IEEE uses different approaches to make your article “findable.” There are also some things you can do to help improve your article’s visibility.

Abstracting and Indexing Services

IEEE partners with the major abstracting and indexing providers such as Google, CrossRef, Elsevier, Thomson Reuters, ProQuest, IET, and NLM. These tools are very important for helping researchers discover relevant scientific literature. They are frequently where authors begin their literature review.

Your Article on IEEE Xplore

IEEE Xplore is designed to help researchers quickly and consistently find high quality articles in their field. Your article will appear in search results fast, and in the right context. IEEE Xplore is one of the world’s largest collections of high quality technical literature in engineering and technology. Article alerts, which notify researchers when new content is available in the journals of interest to them, help to increase the visibility of your articles. Frequently accessed and newly published articles and journal issues are highlighted on the IEEE Xplore main page. IEEE Marketing campaigns bring new and popular journal articles to readers’ attention.

What You Can Do

Take advantage of the opportunities that IEEE offers you to bring your article to the attention of your peers. As discussed in Section 3, you can post the accepted version of your article on your personal Web site or on your faculty page. You can use your article for teaching and training. Articles can be posted in repositories. Although the distribution of article reprints is less common these days, you can alert colleagues to your new publication by sending an e-mail with the article URL . You should be proud to be an author whose work is available along with that of nearly two dozen Nobel-prize winning innovators on IEEE Xplore!

Section 11 APPENDIX

Online Resources for Authors

introduction (page 2)
IEEE Xplore digital library: http://www.ieee.org/ieeexplore

Ethics in Scientific Publishing (pages 5–7)
IEEE Copyright Notice: http://www.ieee.org/publications_sta..._policies.html
IEEE Copyright Policies: http://www.ieee.org/publications_sta...ghtpolicy.html

Selecting where to submit (pages 9–10)
Database of Calls for Articles: http://www.ieee.org/portal/pages/ipo...ers/index.html
IEEE open access policy: http://www.ieee.org/open-access

Developing Your Manuscript (pages 11–15)
IEEE PSPB Operations Manual: http://www.ieee.org/documents/opsmanual.pdf
IEEE taxonomy: http://www.ieee.org/documents/taxonomy_v101.pdf
IEEE citation reference style: http://www.ieee.org/documents/ieeecitationref.pdf
IEEE Author Digital Toolbox: http://www.ieee.org/publications_sta..._journals.html
IEEE Reference Preparation Assistant: http://refassist.ieee.org/action/showAuthorLogin
IEEE Style Manual: http://www.ieee.org/documents/style_manual.pdf
Templates for preparing your articles: http://www.ieee.org/publications_sta...templates.html
Templates for conference organizers: http://www.ieee.org/conferences_even...templates.html

Improving and Revising (pages 16–19)
IEEE English-language editing service: http://www.prof-editing.com/ieee/index.php

Submissions (pages 20–21)
IEEE eCopyright form: http://www.ieee.org/publications_sta...rightmain.html
ScholarOne Manuscripts: http://mchelp.manuscriptcentral.com/gethelpnow/
Templates for conference submissions: http://www.ieee.org/conferences_even...templates.html

References

[1]

1790 Analytics LLC, Copyright 2012.

[2]

J.R. Matthews and R.W. Matthews, Successful Scientific Writing: A step-by-step guide for the biological and medical sciences. Cambridge, UK: Cambridge University Press, 2008.

[3]

R .J. Gladon, W.R. Graves, J.M. Kelly, Getting Published in the Life Sciences, Hoboken, NJ: Wiley-Blackwell, 2011.

[4]

M. Cargill and P. O’Connor, Writing Scientific Research Articles: Strategy and steps. Chichester, UK: Wiley-Blackwell, 2009.

[5]

I WCSA Report (2012). Report on the International Workshop on Contributorship and Scholarly Attribution, May 16, 2012. Harvard University and the Wellcome Trust. http://projects.iq.harvard.edu/attribution_workshop

[6]

N .H. Steneck, “Fostering Integrity in Research: Definitions, Current Knowledge, and Future Directions, “Science and Engineering Ethics, Vol. 12, No. 1, pp. 53–74.

[7]

R .A. Day and B. Gastel, How to Write and Publish a Scientific Paper, Westport, CT: Greenwood Press, 2006.

[8]

M.M. Pierson, B.L. Pierson, “Beginnings and Endings: Keys to Better Engineering Technical Writing,” IEEE Trans. Prof. Commun., vol. 40, no. 4, pp. 299–304.

[9]

M. Christopher and K. Young: Writing for Publication in Veterinary Medicine. Hoboken: Wiley-Blackwell, 2011.

[10]

S .A. Socolofsky: How to Write a Research Journal Article in Engineering and Science, 2004, available: https://ceprofs.civil.tamu.edu/ssoco...per_how-to.pdf

[11]

I . Stojmenovic, “Editor’s Note: How to Write Research Articles in Computing and Engineering Disciplines,” IEEE Trans. Parallel Distrib. Syst., vol. 21, no. 2, pp. 145–147.

[12]

C .A. Linte, “Writing for Publication in Biomedical Engineering,” IEEE Eng. Med. BIol. Mag., vol. 27, no. 3, pp. 7–11.

[13]

R .T. Compton, Jr. “Fourteen Steps to a Clearly Written Technical Paper,” reprinted by IEEE Trans. Circuits Mag., Vol. 8, no. 5, Sept. 1992.

[14}

K.J. Ray Liu, “Peer Review,” IEEE Signal Processing Mag., vol. 29, no. 8, p. 8.

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