Table of contents
- Story
- Slides
- Slide 1 Why Doesn't EPA Have a Self-Contained Statistical Unit?: A Tribute to Doug Engelbart
- Slide 2 A Tribute to Doug Engelbart
- Slide 3 Preface
- Slide 4 Purpose
- Slide 5 Some of My Principles and Practices
- Slide 6 A Well-designed Spreadsheet
- Slide 7 A New, Innovative Way to Display Water Quality Information
- Slide 8 Scotland’s Environment: Homepage
- Slide 9 Scotland’s Environment: Trends and Indicators
- Slide 10 The Scottish Government Environmental Statistics
- Slide 11 “Drag and Drop” Onto a Tool
- Slide 12 Creates Statistics and Visualizations in the Public and Private Cloud
- Slide 13 Get a Data Story Idea
- Slide 14 Add Your Personal Experience
- Slide 15 Add Your Personal Opinion
- Slide 16 Bring In More Ideas and Data Sets
- Slide 17 EPA Scientists Used These Data Sets
- Slide 18 EPA Provides These Open Data Sets
- Slide 19 EPA Just Received Recognition For Their GeoPlatform
- Slide 20 US EPA Environmental Dataset Gateway Download
- Slide 21 EDG Well-Designed Spreadsheet
- Slide 22 EDG Visualizations: Bar Charts
- Slide 23 EDG Visualizations: Bar Charts
- Slide 24 Build a Knowledge Base in MindTouch
- Slide 25 Build a Knowledge Base Index in Spreadsheet
- Slide 26 Some Conclusions and Recommendations
- Spotfire
- Spotfire
- Research Notes
- U.S. Environmental Protection Agency Daily Digest Bulletin
- EPA Scientists Presented Open Science at White House
- Spotfire – a new, innovative way to display water quality information
- Principles and Practices for a Federal Statistical Agency Fifth Edition
- Full Report
- Cover Page
- The National Academies Press
- The National Academy of Sciences
- Committee on National Statistics 2012-2013
- Dedication
- Acknowledgments
- Executive Summary
- Introduction
- Part I: Principles and Practices for a Federal Statistical Agency
- Definition of a Federal Statistical Agency
- Establishment of a Federal Statistical Agency
- Principles for a Federal Statistical Agency
- Practices for a Federal Statistical Agency
- Practice 1: A Clearly Defined and Well-Accepted Mission
- Practice 2: Necessary Authority to Protect Independence
- Practice 3: Continual Development of More Useful Data
- Practice 4: Openness About Sources and Limitations of the Data Provided
- Practice 5: Wide Dissemination of Data
- Practice 6: Cooperation with Data Users
- Practice 7: Respect for the Privacy and Autonomy of Data Providers
- Practice 8: Protection of the Confidentiality of Data Providers’ Information
- Practice 9: Commitment to Quality and Professional Standards of Practice
- Practice 10: An Active Research Program
- Practice 11: Professional Advancement of Staff
- Practice 12: A Strong Internal and External Evaluation Program
- Practice 13: Coordination and Collaboration with Other Statistical Agencies
- Footnotes
- Part II: Commentary
- Definition of a Federal Statistical Agency
- Establishment of a Federal Statistical Agency
- Principles for a Federal Statistical Agency
- Principle 1: A federal statistical agency must be in a position to provide objective, accurate, and timely information that is relevant to issues of public policy
- Principle 2: A federal statistical agency must have credibility with those who use its data and information
- Principle 3: A federal statistical agency must have the trust of those whose information it obtains
- Principle 4: A federal statistical agency must be independent from political and other undue external influence in developing, producing, and disseminating statistics
- Practices for a Federal Statistical Agency
- Practice 1: A Clearly Defined and Well-Accepted Mission
- Practice 2: Necessary Authority to Protect Independence
- Practice 3: Continual Development of More Useful Data
- Practice 4: Openness About Sources and Limitations of the Data Provided
- Practice 5: Wide Dissemination of Data
- Practice 6: Cooperation with Data Users
- Practice 7: Respect for the Privacy and Autonomy of Data Providers
- Practice 8: Protection of the Confidentiality of Data Providers’ Information
- Practice 9: Commitment to Quality and Professional Standards of Practice
- Practice 10: An Active Research Program
- Practice 11: Professional Advancement of Staff
- Practice 12: A Strong Internal and External Evaluation Program
- Practice 13: Coordination and Collaboration with Other Statistical Agencies
- Footnotes
- Appendixes
- A Legislation and Regulations That Govern Federal Statistics
- The 1980 Paperwork Reduction Act and Associated Guidance
- OMB Statistical Policy Directives
- Standards and Guidelines for Statistical Surveys
- Compilation, Release, and Evaluation of Principal Economic Indicators
- Release and Dissemination of Statistical Products
- North American Industry Classification System/Standard Industrial Classification
- Standard Occupational Classification
- Metropolitan Area Classification
- Definition of Poverty
- Data on Race and Ethnicity
- The 1997 Order Providing For The Confidentialy of Statistical Information
- The 2002 Confidential Information Protection and Statistical Efficiency Act and Associated Guidance
- Subtitle B—Sharing Data
- OMB CIPSEA Guidance
- The 2002 E-Government Act, Section 208
- The 2002 Federal Information Security Management Act
- The 2000 Information Quality Act and Associated Guidelines
- 2004 OMB Peer Review Guidance
- 2010 Government Performance and Results Modernization Act
- 2009–2010 Guidance on Scientific Integrity
- Footnotes
- B Organization of the Federal Statistical System
- Overview
- Budget
- Value
- Structure
- Figure B-1 Organization of principal federal statistical agencies and programs, by department, 2013.
- Figure B-2 Members of the Interagency Council on Statistical Policy: Organizational location and relevant congressional appropriations subcommittee based on subcommittee jurisdictions in the 113th Congress.
- Office of Management and Budget
- Principal Statistical Agencies
- Bureau of Economic Analysis
- Bureau of Justice Statistics
- Bureau of Labor Statistics
- Bureau of Transportation Statistics
- Census Bureau
- Economic Research Service
- Energy Information Administration
- National Agricultural Statistics Service
- National Center for Education Statistics
- National Center for Health Statistics
- National Center for Science and Engineering Statistics
- Office of Research, Evaluation, and Statistics
- Statistics of Income Division
- Other Statistical Programs
- Footnotes
- Overview
- C Fundamental Principles of Official Statistics of the Statistical Commission of the United Nations
- D European Statistics Code of Practice for the National and Community Statistical Authorities
- E Selected Federal Statistical Websites, February 2013
- A Legislation and Regulations That Govern Federal Statistics
- References and Selected Bibliography
- Story
- Slides
- Slide 1 Why Doesn't EPA Have a Self-Contained Statistical Unit?: A Tribute to Doug Engelbart
- Slide 2 A Tribute to Doug Engelbart
- Slide 3 Preface
- Slide 4 Purpose
- Slide 5 Some of My Principles and Practices
- Slide 6 A Well-designed Spreadsheet
- Slide 7 A New, Innovative Way to Display Water Quality Information
- Slide 8 Scotland’s Environment: Homepage
- Slide 9 Scotland’s Environment: Trends and Indicators
- Slide 10 The Scottish Government Environmental Statistics
- Slide 11 “Drag and Drop” Onto a Tool
- Slide 12 Creates Statistics and Visualizations in the Public and Private Cloud
- Slide 13 Get a Data Story Idea
- Slide 14 Add Your Personal Experience
- Slide 15 Add Your Personal Opinion
- Slide 16 Bring In More Ideas and Data Sets
- Slide 17 EPA Scientists Used These Data Sets
- Slide 18 EPA Provides These Open Data Sets
- Slide 19 EPA Just Received Recognition For Their GeoPlatform
- Slide 20 US EPA Environmental Dataset Gateway Download
- Slide 21 EDG Well-Designed Spreadsheet
- Slide 22 EDG Visualizations: Bar Charts
- Slide 23 EDG Visualizations: Bar Charts
- Slide 24 Build a Knowledge Base in MindTouch
- Slide 25 Build a Knowledge Base Index in Spreadsheet
- Slide 26 Some Conclusions and Recommendations
- Spotfire
- Spotfire
- Research Notes
- U.S. Environmental Protection Agency Daily Digest Bulletin
- EPA Scientists Presented Open Science at White House
- Spotfire – a new, innovative way to display water quality information
- Principles and Practices for a Federal Statistical Agency Fifth Edition
- Full Report
- Cover Page
- The National Academies Press
- The National Academy of Sciences
- Committee on National Statistics 2012-2013
- Dedication
- Acknowledgments
- Executive Summary
- Introduction
- Part I: Principles and Practices for a Federal Statistical Agency
- Definition of a Federal Statistical Agency
- Establishment of a Federal Statistical Agency
- Principles for a Federal Statistical Agency
- Practices for a Federal Statistical Agency
- Practice 1: A Clearly Defined and Well-Accepted Mission
- Practice 2: Necessary Authority to Protect Independence
- Practice 3: Continual Development of More Useful Data
- Practice 4: Openness About Sources and Limitations of the Data Provided
- Practice 5: Wide Dissemination of Data
- Practice 6: Cooperation with Data Users
- Practice 7: Respect for the Privacy and Autonomy of Data Providers
- Practice 8: Protection of the Confidentiality of Data Providers’ Information
- Practice 9: Commitment to Quality and Professional Standards of Practice
- Practice 10: An Active Research Program
- Practice 11: Professional Advancement of Staff
- Practice 12: A Strong Internal and External Evaluation Program
- Practice 13: Coordination and Collaboration with Other Statistical Agencies
- Footnotes
- Part II: Commentary
- Definition of a Federal Statistical Agency
- Establishment of a Federal Statistical Agency
- Principles for a Federal Statistical Agency
- Principle 1: A federal statistical agency must be in a position to provide objective, accurate, and timely information that is relevant to issues of public policy
- Principle 2: A federal statistical agency must have credibility with those who use its data and information
- Principle 3: A federal statistical agency must have the trust of those whose information it obtains
- Principle 4: A federal statistical agency must be independent from political and other undue external influence in developing, producing, and disseminating statistics
- Practices for a Federal Statistical Agency
- Practice 1: A Clearly Defined and Well-Accepted Mission
- Practice 2: Necessary Authority to Protect Independence
- Practice 3: Continual Development of More Useful Data
- Practice 4: Openness About Sources and Limitations of the Data Provided
- Practice 5: Wide Dissemination of Data
- Practice 6: Cooperation with Data Users
- Practice 7: Respect for the Privacy and Autonomy of Data Providers
- Practice 8: Protection of the Confidentiality of Data Providers’ Information
- Practice 9: Commitment to Quality and Professional Standards of Practice
- Practice 10: An Active Research Program
- Practice 11: Professional Advancement of Staff
- Practice 12: A Strong Internal and External Evaluation Program
- Practice 13: Coordination and Collaboration with Other Statistical Agencies
- Footnotes
- Appendixes
- A Legislation and Regulations That Govern Federal Statistics
- The 1980 Paperwork Reduction Act and Associated Guidance
- OMB Statistical Policy Directives
- Standards and Guidelines for Statistical Surveys
- Compilation, Release, and Evaluation of Principal Economic Indicators
- Release and Dissemination of Statistical Products
- North American Industry Classification System/Standard Industrial Classification
- Standard Occupational Classification
- Metropolitan Area Classification
- Definition of Poverty
- Data on Race and Ethnicity
- The 1997 Order Providing For The Confidentialy of Statistical Information
- The 2002 Confidential Information Protection and Statistical Efficiency Act and Associated Guidance
- Subtitle B—Sharing Data
- OMB CIPSEA Guidance
- The 2002 E-Government Act, Section 208
- The 2002 Federal Information Security Management Act
- The 2000 Information Quality Act and Associated Guidelines
- 2004 OMB Peer Review Guidance
- 2010 Government Performance and Results Modernization Act
- 2009–2010 Guidance on Scientific Integrity
- Footnotes
- B Organization of the Federal Statistical System
- Overview
- Budget
- Value
- Structure
- Figure B-1 Organization of principal federal statistical agencies and programs, by department, 2013.
- Figure B-2 Members of the Interagency Council on Statistical Policy: Organizational location and relevant congressional appropriations subcommittee based on subcommittee jurisdictions in the 113th Congress.
- Office of Management and Budget
- Principal Statistical Agencies
- Bureau of Economic Analysis
- Bureau of Justice Statistics
- Bureau of Labor Statistics
- Bureau of Transportation Statistics
- Census Bureau
- Economic Research Service
- Energy Information Administration
- National Agricultural Statistics Service
- National Center for Education Statistics
- National Center for Health Statistics
- National Center for Science and Engineering Statistics
- Office of Research, Evaluation, and Statistics
- Statistics of Income Division
- Other Statistical Programs
- Footnotes
- Overview
- C Fundamental Principles of Official Statistics of the Statistical Commission of the United Nations
- D European Statistics Code of Practice for the National and Community Statistical Authorities
- E Selected Federal Statistical Websites, February 2013
- A Legislation and Regulations That Govern Federal Statistics
- References and Selected Bibliography
Story
Why Doesn't EPA Have a Self-Contained Statistical Unit?
In the 5th Principles and Practices For A Federal Statistical Agency, under Principal Statistical Agencies it says: This section provides information—primarily from agency websites (see Appendix E) and OMB publications—on 13 of the 14 members of the ICSP, excluding only the Office of Environmental Information in the Environmental Protection Agency, which is not a self-contained statistical unit. The information provided for the 13 agencies includes origins, authorizing legislation or other authority, status of head (presidential appointee, career senior executive service official), budget and full-time permanent staffing levels in 2012 (see U.S. Office of Management and Budget, 2012b:Table 1 and App. B), and principal programs. The agencies are discussed in alphabetical order.
I worked in EPA's Environmental Statistics Division and compiled a knowledgebase of their activities. Earlier I worked in the EPA Center for Environmental Statistics to try to become a Bureau of Environmental Statistics and produced an EPA Ontology State of the Environment Report.
While working in the EPA Center for Environmental Statistics, I helped produce the EPA Guide to Selected National Environment Statistics in the US Government and the Guide to Global Environmental Statistics. I received the EPA Bronze Medal for the former in 1993.
Since Congress never allowed EPA to have a bureau of Environmental Statistics and since the Office of Environmental Information in the Environmental Protection Agency would never allow the Environmental Statistics Division to become a self-contained statistical unit, I decide to spend the rest of my EPA career being a data scientist and applying my statistics and data architecture expertise to analyzing and visualizing as many EPA and government data sets as possible using the premier tool based on S-Plus and Spotfire called Spotfire by TIBCO.
This turned out to be very visionary because now the statistical agencies (e.g. Census) and OMB are actively looking to apply state-of-the-art tool to provide a lot of federal data to analysts and empowering them to use a visualization tool to derive new understandings. See:
http://semanticommunity.info/Data_Science/Free_Data_Visualization_and_Analysis_Tools
I wondered why this is so with EPA not having a self-contained statistical unit, so I asked Dr. Constance F. Citro, Director, Committee on National Statistics, and one of the principal authors of the 5th Principles and Practices For A Federal Statistical Agency, and she replied:
I don’t know the full history, but there were efforts (about 20-25 years ago, I believe) to create a statistical agency (Bureau of Environmental Statistics) within EPA, but these efforts never got anywhere. I don’t know if the obstacles were in the executive branch, Congress, or both. One concern, I understand, was that EPA as a regulatory agency was not the appropriate place to house a statistical agency, and there was some initiative to create a cabinet department including EPA and other relevant agencies, including a new statistical agency. But again, these efforts came to naught. The person who headed the OMB statistical policy division in the late 1980s and early 1990s decided to include EPA as a member of the ICSP, and his successor (Katherine Wallman) didn’t change that, but, otherwise, there is no unit in EPA that is recognized as a “principal statistical agency.”
MORE TO BE ADDED
Also see: http://semanticommunity.info/Data_Science/Free_Data_Visualization_and_Analysis_Tools/Tableau#Story
Slides
Slide 1 Why Doesn't EPA Have a Self-Contained Statistical Unit?: A Tribute to Doug Engelbart
http://semanticommunity.info/
http://breakinggov.com/author/brand-niemann/
Slide 7 A New, Innovative Way to Display Water Quality Information
http://semanticommunity.info/CNSTAT/Principles_and_Practices_for_a_Federal_Statistical_Agency#Spotfire_.E2.80.93_a_new.2C_innovative_way_to_display_water_quality_information
Slide 9 Scotland’s Environment: Trends and Indicators
http://www.environment.scotland.gov.uk/trends_and_indicators.aspx
Slide 10 The Scottish Government Environmental Statistics
http://www.scotland.gov.uk/Topics/Statistics/Browse/Environment
Slide 13 Get a Data Story Idea
http://semanticommunity.info/CNSTAT/Principles_and_Practices_for_a_Federal_Statistical_Agency#Principal_Statistical_Agencies
http://semanticommunity.info/CNSTAT/Principles_and_Practices_for_a_Federal_Statistical_Agency#E_Selected_Federal_Statistical_Websites.2C_February_2013
Slide 14 Add Your Personal Experience
http://semanticommunity.info/EPA/EPA_Statistics_Users_Group
Slide 15 Add Your Personal Opinion
http://semanticommunity.info/Data_Science/Free_Data_Visualization_and_Analysis_Tools
Slide 16 Bring In More Ideas and Data Sets
http://blog.epa.gov/science/2013/06/epa-scientists-presented-open-science-at-white-house/
Slide 19 EPA Just Received Recognition For Their GeoPlatform
http://www.eiseverywhere.com/ehome/49069/83917/?&
https://twitter.com/DruidSmith/status/351786541049331712
Slide 21 EDG Well-Designed Spreadsheet
http://semanticommunity.info/@api/deki/files/24897/EPAOpenGovernmentData.xlsx
Slide 24 Build a Knowledge Base in MindTouch
http://semanticommunity.info/CNSTAT/Principles_and_Practices_for_a_Federal_Statistical_Agency
Slide 25 Build a Knowledge Base Index in Spreadsheet
http://semanticommunity.info/@api/deki/files/24897/EPAOpenGovernmentData.xlsx
Spotfire
For Internet Explorer Users and Those Wanting Full Screen Display Use: Web Player Get Spotfire for iPad App
Spotfire
For Internet Explorer Users and Those Wanting Full Screen Display Use: Web Player Get Spotfire for iPad App
Research Notes
Open Initiative Homepage
http://www2.epa.gov/open
What Is This?
Federal Facilities Search Results
http://www.epa.gov/fedfac/ffsep/index.htm
http://cumulis.epa.gov/supercpad/cur...753d5b67b1ff56
http://cumulis.epa.gov/supercpad/cur...qryrslt_ff.cfm
Data Inventory and Activities
http://www2.epa.gov/open/data-invent...and-activities
Contact the Open Government Web editor to ask a question, provide feedback, or report a problem.
crawford.tim@epa.gov
EPA's data.gov data set inventory (XLSX)(21 pp, 1 MB)
http://www2.epa.gov/sites/production...y2011q1_0.xlsx
Data Finder
http://www.epa.gov/data/
Is There Anything New Here Since I Did This?
EPA List of Substances
http://cfpub.epa.gov/ncea/iris/index...ist_type=alpha
Download Excel
Could Build LOD Tables of Rest
EPA's Environmental Dataset Gateway (EDG)
https://edg.epa.gov/metadata/catalog/main/home.page
Download EPA's Geospatial Data
https://edg.epa.gov/data/
What Are All of These?
CNSTAT’s 122nd meeting will be held October 24-25, 2013, in the NAS main building at 2101 Constitution Ave., NW. This meeting will feature a public seminar and luncheon with statistical agency heads on the 25th.
Stephen Fienberg, the Maurice Falk university professor of statistics and social science at Carnegie Mellon University, will deliver the 23rd Morris Hansen lecture, Thursday afternoon, October 3, 2013, at the USDA Auditorium, Washington, DC. His topic is “Envisioning the 2030 Census,”
Please see the C-SPAN web site for announcements of upcoming C-SPAN Washington Journal sessions on “America by the Numbers,” which feature interviews with federal statistical agency heads and senior staff. The programs highlight trends and allow the public to call in or email their views. Links to videos of previous C-SPAN ABTN programs is available at the same site.
http://www.c-spanvideo.org/topic/ABTN
CNSTAT Public Seminars and Other Symposia
http://sites.nationalacademies.org/D...3#.UdYjxDsY7Sh
U.S. Environmental Protection Agency Daily Digest Bulletin
Source: June 20, 2013 Email
The people have spoken: what green apps people want
06/20/2013
Ever wonder what environmental apps people want? We’ve done some market research so you understand where the demand is. It’s getting easier than ever to convert ideas into green apps.
We asked people to suggest ideas for green apps, then to “like” their favorites (see the favorites at http://www.epa.gov/mygreenapps/ideas.html and click on the button for “Show Popular Ideas”). For the top four ideas, we found related apps that already exist so you don’t have to reinvent the wheel (http://blog.epa.gov/data/2013/06/green-app-ideas/). Finally, we found EPA data you can use to convert these ideas into apps (http://www.epa.gov/mygreenapps/Ideas%20for%20Apps%201-11-13.xlsx).
So we’re challenging you to make some of these apps! You know what people want, what apps are already out there, and what data can be used to make the apps. If you need help, just contact us at greenapps@epa.gov.
Here are some events and opportunities you may want to know about:
My Air, My Health Challenge Winners are Announced: The objective of the challenge by the U.S. Department of Health and Human Services and the Environmental Protection Agency was to develop a low cost, real-time personal digital device that measures health effects of harmful air pollution. The team of David Kuller, Gabrielle Dockterman, and Dot Kelly won the $100,000 grand prize! See details at http://challenge.gov/HHS/372-my-air-my-health-challenge.
NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge: The objective of this challenge is to obtain a greater understanding about how a person's individual genetics can influence cytotoxic response to exposure to widely used chemicals. It is being led and organized by scientists from Sage Bionetworks, DREAM, the University of North Carolina, the National Institute of Environmental Health Sciences and the National Center for Advancing Translational Sciences. The challenge will close on September 15, 2013, and the top-scoring team(s) will be announced at the November, 2013 DREAM Conference (www.iscb.org/recomb-regsysgen2013) in Toronto, Canada. http://online.wsj.com/article/PR-CO-20130611-901905.html
International Space Apps Challenge: Results: On April 20-21, over 9,000 people around the world participated in the known galaxy's largest mass collaboration ever - the International Space Apps Challenge. You can see the incredible work they created and check if they need help with coding or marketing. http://spaceappschallenge.org/
National Day of Civic Hacking: On June 1-2, over 11,000 individuals engaged in the National Day of Civic Hacking in 95 events, 38 states, 83 cities, and 2 territories. You can see the list of 26 challenges from federal, state, and local governments at http://hackforchange.org/challenges and see if you can coordinate with teams as they flesh out their ideas. http://hackforchange.org/
REST API Service is Available for Safe Drinking Water Data: The newly expanded REST Application Programming Interface (API) services for Envirofacts Safe Drinking Water Information System (SDWIS) data were recently made available. These new SDWIS services represent an expanding catalog of special Envirofacts data services that build upon the core Envirofacts REST API service. Get familiar with the Envirofacts API here: http://www.epa.gov/enviro/facts/services.html. See the REST API for SDWIS here: http://www.epa.gov/enviro/facts/otherdata.html.
EPA Scientists Presented Open Science at White House
Source: http://blog.epa.gov/science/2013/06/epa-scientists-presented-open-science-at-white-house/
My Note: There is Excel data here and they are looking at dashboards: http://epa.gov/research/priorities/d...fact-sheet.pdf
2013 JUNE 26
From weather forecasts, air quality advisories, and portable GPS navigation devices, to waterfowl migration, and the mapping of the human genome, the use of government and government-supported science and data have vastly improved our lives. They have also sparked countless new private businesses and industries leading to economic growth and opportunity for innovators and entrepreneurs in every region of the country.
Recognizing the power and potential of such Open Science, on June 20, 2013 the White House invited four EPA scientists—Drs. Richard Judson, Keith Houck, Matt Martin, and Ann Richard—to present research posters describing their efforts to provide public access to massive amounts of data from chemical safety studies. The scientists presented their posters after the White House’s “Champions of Change” award ceremony. The award ceremony recognized 13 Champions of Change for their efforts to provide the public access to innovative science.
In addition to the 13 Champions of Change, the White House selected 12 scientists (including the EPA researchers) to present posters describing their vision and commitment to Open Science.
EPA scientists Ann Richard and Matt Martin at the White House poster session.
The select group of 25 was chosen from hundreds of nominations submitted to the White House’s request for innovative Open Science leaders. The White House event highlighted outstanding individuals, organizations, and research projects promoting and using open scientific data and publications to accelerate progress.
To exemplify Open Science work, the four EPA scientists presented how they are using advances in computational toxicology to provide open and accessible chemical safety data to help better protect human health and the environment. Each of the EPA scientists are working to harness the power of computer science and innovative new chemical safety assessment methods and tools to provide open, transparent public access to chemical information. For example:
- Dr. Matt Martin leads a team of Agency scientists and partners who developed theToxicity Reference database (ToxRefDB). ToxRefDB contains 30 years and $2 billion worth of pesticide registration studies. The database allows scientists and others to search and download thousands of toxicity testing results on hundreds of chemicals that were previously only available on paper or microfiche.
- Dr. Ann Richard is the leader behind another open, accessible database, theDistributed Structure-Searchable Toxicity Database (DSSTox). DSSTox provides open-access to information on the physical and structural properties of chemicals and links this information to toxicity potential. This is key information for assessing the potential risk of chemicals to human health and the environment.
- Dr. Richard Judson leads a team of scientists who developed the Aggregated Computational Toxicology online Resource (ACToR). ACToR is EPA’s online warehouse of all publicly available chemical data aggregated from more than 1,000 public sources on more than half a million chemicals. ACToR can be used to query a specific chemical and find available public hazard, exposure, and risk assessment data as well as previously unpublished studies related to cancer, reproductive, and developmental toxicity.
- Dr. Keith Houck is the driving force behind EPA’s Toxicity Forecaster (ToxCast), a research program advancing the use of automated, rapid chemical tests (called “high-throughput screening assays”) to screen thousands of chemicals in more than 650 assays for toxicity potential. This includes the development of the ToxCast Database (ToxCastDB) which provides publicly accessible, searchable, and downloadable access to all the screening data generated by ToxCast.
These four scientists have led the effort to democratize access to knowledge and information and level the playing field for all those involved and interested in protecting public health and the environment. By doing so, they exemplify the spirit of Open Science celebrated by President Obama’s Champions of Change program.
About the Author: Tina Bahadori, Sc.D. is the National Program Director for EPA’s Chemical Safety for Sustainability research program. Learn more about her on EPA’s Science Matters: Meet our Scientists web page.
Editor's Note: The opinions expressed in Greenversations are those of the author. They do not reflect EPA policy, endorsement, or action, and EPA does not verify the accuracy or science of the contents of the blog.
Spotfire – a new, innovative way to display water quality information
Source: http://www.sepaview.com/2013/06/spotfire-a-new-innovative-way-to-display-water-quality-information
My Note:
http://www.environment.scotland.gov.uk/
http://www.environment.scotland.gov.uk/trends_and_indicators.aspx
http://www.scotland.gov.uk/Topics/St...se/Environment
Key Scottish Environment Statistics 2012 – includes a set of Excel tables with data and charts for all years.
http://www.scotland.gov.uk/Resource/0040/00400791.xls (Excel)
June 20, 2013
A new, web-based application is transforming the way Scotland’s public bodies display their information about Scotland’s environment.
SEPA Director David Pirie said: “Scotland’s Environment Web and Spotfire present a tremendous opportunity to make a real difference to the environment. It’s about bringing people together and working collaboratively. Displaying information from a number of sources, all on one map, is something we wouldn’t have been able to do in the past. Spotfire allows us to do that seamlessly, making the raw data available and allowing the community to choose how they want to use it.”
Scotland’s Environment Web project is leading the way in developing digital technologies to help the public discover more about Scotland’s environment. Scotland’s Environment Web, a partnership of public sector organisations in Scotland, is using Spotfire, a visual data analysis tool, to overlay multiple sets of environmental data that different organisations hold, and present that data in an accessible and useable form. The first Spotfire app to be released is on water quality, and is designed for users with varying levels of knowledge; from members of the general public, to education, local authorities, planners and professionals. Several more applications are planned over the coming months.
The water application will show the overall quality of all surface water in Scotland, and a summary of how many and which water bodies have improved or deteriorated over time. Users will find more detail on each individual stretch of water monitored. A map of Scotland will show what condition our waters are in. This can then be filtered, allowing the user to interrogate and analyse the data, which can be exported for use in reports and presentations, either in map, graph or table form.
Spotfire provides users with a platform which will make complex environmental data much easier to access and understand, allowing them to focus the information to their area or level of interest. Importantly for the user, it is all web-based and can be used on the Scotland’s Environment website without the need to download any additional tools.
Search for Spotfire
Source: http://www.environment.scotland.gov.uk/site_pages/search.aspx?q=Spotfire&sort=
There was extremely positive feedback on the “spotfire” tool and it helped delegates to see for the first time how their environmental data could be integrated with others and used to present some very powerful and understandable environmental information to a wide audience...It was also noted that the web site, and in particular the data presentation and analysis functionality, as demonstrated by “spotfire” had significant potential to be an extremely powerful education tool that would compliment a range of national curriculum objectives as well as increasing the awareness of young people on...
These include ‘Spotfire’ and a new interactive map search tool...Through ‘Spotfire’, SEWeb provides users with a platform which will allow them to analyse and view multiple levels of data on the environment, allowing them to filter the information to their area or level of interest...As well as ‘Spotfire’ and the LIS, SEWeb is also developing tools and resources to help people measure and monitor their own environment...
Leading-edge approach
Source: http://www.environment.scotland.gov....e_Approach.pdf (PDF)
Hazel McFarlane is Corporate Communications Officer at the Scottish
Putting Scotland at the forefront of sharing information, prioritising problems and involving citizens
Environment, Spring 2013 // connect // 41
Visit http://www.environment.scotland.gov.uk
Principles and Practices for a Federal Statistical Agency Fifth Edition
Principles and Practices for a Federal Statistical Agency, Fifth Edition, was publicly released on May 8, 2013. The Committee on National Statistics first issued “P&P” in 1992. Beginning in early 2001, with the second edition, it committed to updating P&P every four years to coincide with a new presidential administration or second term, releasing updated editions in 2001, 2005, 2009, and now 2013. This slim document underscores for the executive and legislative branches of government the important public good provided by strong federal statistical agencies. The full text is available in print and as a PDF; a 4-page leaflet of “Highlights” is also available.
http://download.nap.edu/cart/downloa...ecord_id=18318
Principles and Practices for a Federal Statistical Agency:
Fifth Edition (2013)
Authors
Constance F. Citro and Miron L. Straf, Editors; Committee on National Statistics; Division on Behavioral and Social Sciences and Education; National Research Council
Description
Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens.
In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit.
Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence. Principles and Practices for a Federal Statistical Agency: Fifth Edition explains these four principles in detail.
Highlights
Source: http://download.nap.edu/cart/downloa...ecord_id=18318 (PDF)
Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens.
Principle 1: Relevance to Policy Issues
Principle 2: Credibility Among Data Users
Principle 3: Trust Among Data Providers
Principle 4: Independence from Political and Other Undue External Influence
| Thirteen practices are critical for the effective, principled operation of a statistical agency: (1) a clearly defined and well-accepted mission; (2) necessary authority to protect independence; (3) continual development of more useful data; (4) openness about sources and limitations of the data provided; (5) wide dissemination of data; (6) cooperation with data users; (7) respect for the privacy and autonomy of data providers; (8) protection of the confidentiality of data providers’ information; (9) commitment to quality and professional standards of practice; (10) an active research program; (11) professional advancement of staff; (12) a strong internal and external evaluation program; and (13) coordination and collaboration with other statistical agencies. |
Definition of a Statistical Agency
Why We Need Statistical Agencies
About the Committee on National Statistics
Full Report
Source: http://www.nap.edu/nap-cgi/report.cg...8&type=pdfxsum (PDF)
The National Academies Press
The National Academy of Sciences
Committee on National Statistics 2012-2013
The Committee on National Statistics (CNSTAT) was established in 1972 at the National Academies to improve the statistical methods and information on which public policy decisions are based. The committee carries out studies, workshops, and other activities to foster better measures and fuller understanding of the economy, the environment, public health, crime education, immigration, poverty, welfare, and other public policy issues. It also evaluates ongoing statistical programs and tracks the statistical policy and coordinating activities of the federal government, serving a unique role at the intersection of statistics and public policy. The committee’s work is supported by a consortium of federal agencies through a National Science Foundation grant.
LAWRENCE D. BROWN (Chair), Department of Statistics, The Wharton School, University of Pennsylvania
Dedication
Acknowledgments
Executive Summary
Introduction
Part I: Principles and Practices for a Federal Statistical Agency
| Definition of a Federal Statistical Agency Establishment of a Federal Statistical Agency Principles for a Federal Statistical Agency • Relevance to Policy Issues • Credibility Among Data Users • Trust Among Data Providers • Independence from Political and Other Undue External Influence Practices for a Federal Statistical Agency • A Clearly Defined and Well-Accepted Mission • Necessary Authority to Protect Independence • Continual Development of More Useful Data • Openness About Sources and Limitations of the Data Provided • Wide Dissemination of Data • Cooperation with Data Users • Respect for the Privacy and Autonomy of Data Providers • Protection of the Confidentiality of Data Providers’ Information • Commitment to Quality and Professional Standards of Practice • An Active Research Program • Professional Advancement of Staff • A Strong Internal and External Evaluation Program • Coordination and Collaboration with Other Statistical Agencies |
Definition of a Federal Statistical Agency
Establishment of a Federal Statistical Agency
Principles for a Federal Statistical Agency
Principle 1: Relevance to Policy Issues
Principle 2: Credibility Among Data Users
Principle 3: Trust Among Data Providers
Principle 4: Independence from Political and Other Undue External Influence
Practices for a Federal Statistical Agency
Practice 1: A Clearly Defined and Well-Accepted Mission
Practice 2: Necessary Authority to Protect Independence
Practice 3: Continual Development of More Useful Data
Practice 4: Openness About Sources and Limitations of the Data Provided
Practice 5: Wide Dissemination of Data
Practice 6: Cooperation with Data Users
Practice 7: Respect for the Privacy and Autonomy of Data Providers
Practice 8: Protection of the Confidentiality of Data Providers’ Information
Practice 9: Commitment to Quality and Professional Standards of Practice
Practice 10: An Active Research Program
Practice 11: Professional Advancement of Staff
Practice 12: A Strong Internal and External Evaluation Program
Practice 13: Coordination and Collaboration with Other Statistical Agencies
Footnotes
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opinions and choices.” Available: http://archive.org/details/belmontreporteth00unit [February 2013].
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Part II: Commentary
Definition of a Federal Statistical Agency
Establishment of a Federal Statistical Agency
Principles for a Federal Statistical Agency
Principle 1: A federal statistical agency must be in a position to provide objective, accurate, and timely information that is relevant to issues of public policy
Principle 2: A federal statistical agency must have credibility with those who use its data and information
Principle 3: A federal statistical agency must have the trust of those whose information it obtains
Principle 4: A federal statistical agency must be independent from political and other undue external influence in developing, producing, and disseminating statistics
Practices for a Federal Statistical Agency
Practice 1: A Clearly Defined and Well-Accepted Mission
Practice 2: Necessary Authority to Protect Independence
Practice 3: Continual Development of More Useful Data
Introduction
Multiple Data Sources
The Role of Surveys
Roles for Administrative Records
Roles for Nontraditional Data Sources
Integration and Synchronization of Data Across Agencies
Longitudinal Data
Operational Methods
Practice 4: Openness About Sources and Limitations of the Data Provided
Practice 5: Wide Dissemination of Data
Practice 6: Cooperation with Data Users
Practice 7: Respect for the Privacy and Autonomy of Data Providers
Introduction
Respecting Privacy
Protecting and Respecting the Autonomy of Human Research Participants
Practice 8: Protection of the Confidentiality of Data Providers’ Information
Practice 9: Commitment to Quality and Professional Standards of Practice
Practice 10: An Active Research Program
Substantive Research and Analysis
Research on Methodology and Operations
Research on Policy Uses
Practice 11: Professional Advancement of Staff
Practice 12: A Strong Internal and External Evaluation Program
Introduction
Evaluating Quality
Evaluating Relevance
Types of Reviews
Practice 13: Coordination and Collaboration with Other Statistical Agencies
Introduction
Role of OMB
Forms of Interagency Collaboration
Footnotes
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Appendixes
A Legislation and Regulations That Govern Federal Statistics
The 1980 Paperwork Reduction Act and Associated Guidance
Background
Paperwork Reduction
Survey Clearance Process
OMB Statistical Policy Directives
Standards and Guidelines for Statistical Surveys
Compilation, Release, and Evaluation of Principal Economic Indicators
Release and Dissemination of Statistical Products
North American Industry Classification System/Standard Industrial Classification
Standard Occupational Classification
Metropolitan Area Classification
Definition of Poverty
Data on Race and Ethnicity
The 1997 Order Providing For The Confidentialy of Statistical Information
The 2002 Confidential Information Protection and Statistical Efficiency Act and Associated Guidance
Subtitle A—Protecting Confidentiality
Subtitle B—Sharing Data
OMB CIPSEA Guidance
The 2002 E-Government Act, Section 208
The 2002 Federal Information Security Management Act
The 2000 Information Quality Act and Associated Guidelines
2004 OMB Peer Review Guidance
2010 Government Performance and Results Modernization Act
2009–2010 Guidance on Scientific Integrity
Footnotes
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B Organization of the Federal Statistical System
Overview
Budget
Value
Structure
Figure B-1 Organization of principal federal statistical agencies and programs, by department, 2013.
See text for discussion. SOURCE: Based on U.S. Office of Management and Budget (2012b:Table 1).
Figure B-2 Members of the Interagency Council on Statistical Policy: Organizational location and relevant congressional appropriations subcommittee based on subcommittee jurisdictions in the 113th Congress.
Office of Management and Budget
Principal Statistical Agencies
Bureau of Economic Analysis
Bureau of Justice Statistics
Bureau of Labor Statistics
Bureau of Transportation Statistics
Census Bureau
Economic Research Service
Energy Information Administration
National Agricultural Statistics Service
National Center for Education Statistics
National Center for Health Statistics
National Center for Science and Engineering Statistics
Office of Research, Evaluation, and Statistics
Statistics of Income Division
Other Statistical Programs
Health and Retirement Study
Medical Expenditure Panel Survey
National Agricultural Workers Survey
National Automotive Sampling System
National Resources Inventory
National Survey on Drug Use and Health
Panel Study of Income Dynamics
Footnotes
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C Fundamental Principles of Official Statistics of the Statistical Commission of the United Nations
Fundamental Principles of Official Statistics
D European Statistics Code of Practice for the National and Community Statistical Authorities
Preamble
The vision of the European Statistical System 1
The mission of the European Statistical System
The European Statistics Code of Practice
Institutional Environment
Principle 1: Professional Independence
Principle 2: Mandate for Data Collection
Principle 3: Adequacy of Resources
Principle 4: Commitment to Quality
Principle 5: Statistical Confidentiality
Principle 6: Impartiality and Objectivity
Statistical Processes
Principle 7: Sound Methodology
Principle 8: Appropriate Statistical Procedures
Principle 9: Non-excessive Burden on Respondents
Principle 10: Cost Effectiveness
Statistical Output
Principle 11: Relevance
Principle 12: Accuracy and Reliability
Principle 13: Timeliness and Punctuality
Principle 14: Coherence and Comparability
Principle 15: Accessibility and Clarity
Footnotes
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Regulation (EC) 223/2009, Article 4.
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Regulation (EC) 223/2009, Article 12.
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Regulation (EC) 223/2009, Articles 4 and 5.
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Regulation (EC) 223/2009, Article 1. In the Code of Practice, «other national authorities responsible for the development, production and dissemination of European Statistics» are referred to as «other statistical authorities».








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