Table of contents
  1. The District of Columbia Data Catalog And 311 Message Service
  2. Story
  3. Slides
    1. Slides 1
    2. Slide 2
    3. Slide 3
    4. Slide 4
  4. Spotfire Dashboard
  5. Research Notes
  6. Data Catalog
    1. Create Your Own Visualizations using DC datasets
    2. Popular Downloads
    3. Custom Downloads
    4. Live Data Feeds
    5. See it on Google Maps
    6. Browse Catalog
    7. Category: All categories
  7. The Open Data Handbook
  8. Introduction
    1. Target Audience
    2. Credits
      1. Credits and Copyright
        1. Contributing authors
        2. Existing sources directly used
        3. Other sources
  9. Why Open Data?
  10. What is Open Data?
    1. What is Open?
    2. What Data are You Talking About?
  11. How to Open up Data
    1. Choose Dataset(s)
      1. Asking the community
      2. Cost basis
      3. Ease of release
      4. Observe peers
    2. Apply an Open License (Legal Openness)
    3. Make Data Available (Technical Openness)
      1. Available
      2. In bulk
      3. In an open, machine-readable format
      4. Online methods
        1. Via your existing website
        2. Via 3rd party sites
        3. Via FTP servers
        4. As torrents
        5. As an API
    4. Make data discoverable
      1. Existing tools
      2. For government
        1. For civil society
  12. So I’ve Opened Up Some Data, Now What?
    1. Tell the world!
      1. Understanding your audience
      2. Post your material on third-party sites
      3. Making your communications more social-media friendly
      4. Social media
    2. Getting folks in a room: Unconferences, Meetups and Barcamps
    3. Making things! Hackdays, prizes and prototypes
      1. Examples for Competitions
      2. Conferences, Barcamps, Hackdays
  13. Glossary
    1. Anonymisation
    2. Anonymization
    3. API
    4. Application Programming Interface
    5. AR
    6. Attribution Licence
    7. Attribution License
    8. BitTorrent
    9. Connectivity
    10. Copyright
    11. DAP
    12. Data Access Protocol
    13. Data protection legislation
    14. Database rights
    15. EU
    16. EU PSI Directive
    17. IAR
    18. Information Asset Register
    19. Intellectual property rights
    20. IP rights
    21. Machine-readable
    22. Open Data
    23. Open Government Data
    24. Open standards
    25. PSI
    26. Public domain
    27. Public Sector Information
    28. Re-use
    29. Share-alike Licence
    30. Share-alike License
    31. Tab-seperated values
    32. Web API
  14. Appendices
    1. File Formats
      1. An Overview of File Formats
        1. JSON
        2. XML
        3. RDF
        4. Spreadsheets
        5. Comma Separated Files
        6. Text Document
        7. Plain Text
        8. Scanned image
        9. Proprietary formats
        10. HTML
      2. Open File Formats
        1. Example: UK traffic data
      3. How do I use a given format?
        1. Web services
        2. Database
    2. What Legal (IP) Rights Are There in Data(bases)
  15. Index
  16. Search Page

The Open Data Handbook

Last modified
Table of contents
  1. The District of Columbia Data Catalog And 311 Message Service
  2. Story
  3. Slides
    1. Slides 1
    2. Slide 2
    3. Slide 3
    4. Slide 4
  4. Spotfire Dashboard
  5. Research Notes
  6. Data Catalog
    1. Create Your Own Visualizations using DC datasets
    2. Popular Downloads
    3. Custom Downloads
    4. Live Data Feeds
    5. See it on Google Maps
    6. Browse Catalog
    7. Category: All categories
  7. The Open Data Handbook
  8. Introduction
    1. Target Audience
    2. Credits
      1. Credits and Copyright
        1. Contributing authors
        2. Existing sources directly used
        3. Other sources
  9. Why Open Data?
  10. What is Open Data?
    1. What is Open?
    2. What Data are You Talking About?
  11. How to Open up Data
    1. Choose Dataset(s)
      1. Asking the community
      2. Cost basis
      3. Ease of release
      4. Observe peers
    2. Apply an Open License (Legal Openness)
    3. Make Data Available (Technical Openness)
      1. Available
      2. In bulk
      3. In an open, machine-readable format
      4. Online methods
        1. Via your existing website
        2. Via 3rd party sites
        3. Via FTP servers
        4. As torrents
        5. As an API
    4. Make data discoverable
      1. Existing tools
      2. For government
        1. For civil society
  12. So I’ve Opened Up Some Data, Now What?
    1. Tell the world!
      1. Understanding your audience
      2. Post your material on third-party sites
      3. Making your communications more social-media friendly
      4. Social media
    2. Getting folks in a room: Unconferences, Meetups and Barcamps
    3. Making things! Hackdays, prizes and prototypes
      1. Examples for Competitions
      2. Conferences, Barcamps, Hackdays
  13. Glossary
    1. Anonymisation
    2. Anonymization
    3. API
    4. Application Programming Interface
    5. AR
    6. Attribution Licence
    7. Attribution License
    8. BitTorrent
    9. Connectivity
    10. Copyright
    11. DAP
    12. Data Access Protocol
    13. Data protection legislation
    14. Database rights
    15. EU
    16. EU PSI Directive
    17. IAR
    18. Information Asset Register
    19. Intellectual property rights
    20. IP rights
    21. Machine-readable
    22. Open Data
    23. Open Government Data
    24. Open standards
    25. PSI
    26. Public domain
    27. Public Sector Information
    28. Re-use
    29. Share-alike Licence
    30. Share-alike License
    31. Tab-seperated values
    32. Web API
  14. Appendices
    1. File Formats
      1. An Overview of File Formats
        1. JSON
        2. XML
        3. RDF
        4. Spreadsheets
        5. Comma Separated Files
        6. Text Document
        7. Plain Text
        8. Scanned image
        9. Proprietary formats
        10. HTML
      2. Open File Formats
        1. Example: UK traffic data
      3. How do I use a given format?
        1. Web services
        2. Database
    2. What Legal (IP) Rights Are There in Data(bases)
  15. Index
  16. Search Page

  1. The District of Columbia Data Catalog And 311 Message Service
  2. Story
  3. Slides
    1. Slides 1
    2. Slide 2
    3. Slide 3
    4. Slide 4
  4. Spotfire Dashboard
  5. Research Notes
  6. Data Catalog
    1. Create Your Own Visualizations using DC datasets
    2. Popular Downloads
    3. Custom Downloads
    4. Live Data Feeds
    5. See it on Google Maps
    6. Browse Catalog
    7. Category: All categories
  7. The Open Data Handbook
  8. Introduction
    1. Target Audience
    2. Credits
      1. Credits and Copyright
        1. Contributing authors
        2. Existing sources directly used
        3. Other sources
  9. Why Open Data?
  10. What is Open Data?
    1. What is Open?
    2. What Data are You Talking About?
  11. How to Open up Data
    1. Choose Dataset(s)
      1. Asking the community
      2. Cost basis
      3. Ease of release
      4. Observe peers
    2. Apply an Open License (Legal Openness)
    3. Make Data Available (Technical Openness)
      1. Available
      2. In bulk
      3. In an open, machine-readable format
      4. Online methods
        1. Via your existing website
        2. Via 3rd party sites
        3. Via FTP servers
        4. As torrents
        5. As an API
    4. Make data discoverable
      1. Existing tools
      2. For government
        1. For civil society
  12. So I’ve Opened Up Some Data, Now What?
    1. Tell the world!
      1. Understanding your audience
      2. Post your material on third-party sites
      3. Making your communications more social-media friendly
      4. Social media
    2. Getting folks in a room: Unconferences, Meetups and Barcamps
    3. Making things! Hackdays, prizes and prototypes
      1. Examples for Competitions
      2. Conferences, Barcamps, Hackdays
  13. Glossary
    1. Anonymisation
    2. Anonymization
    3. API
    4. Application Programming Interface
    5. AR
    6. Attribution Licence
    7. Attribution License
    8. BitTorrent
    9. Connectivity
    10. Copyright
    11. DAP
    12. Data Access Protocol
    13. Data protection legislation
    14. Database rights
    15. EU
    16. EU PSI Directive
    17. IAR
    18. Information Asset Register
    19. Intellectual property rights
    20. IP rights
    21. Machine-readable
    22. Open Data
    23. Open Government Data
    24. Open standards
    25. PSI
    26. Public domain
    27. Public Sector Information
    28. Re-use
    29. Share-alike Licence
    30. Share-alike License
    31. Tab-seperated values
    32. Web API
  14. Appendices
    1. File Formats
      1. An Overview of File Formats
        1. JSON
        2. XML
        3. RDF
        4. Spreadsheets
        5. Comma Separated Files
        6. Text Document
        7. Plain Text
        8. Scanned image
        9. Proprietary formats
        10. HTML
      2. Open File Formats
        1. Example: UK traffic data
      3. How do I use a given format?
        1. Web services
        2. Database
    2. What Legal (IP) Rights Are There in Data(bases)
  15. Index
  16. Search Page

The District of Columbia Data Catalog And 311 Message Service

Source: http://gov.aol.com/2012/12/18/the-district-of-columbia-data-catalog-and-311-message-service/

Published: December 18, 2012

 
The District of Columbia Data Catalog And 311 Message Service
 
If you were the mayor of the District of Columbia, how would you provide customer service? One major goal of the Gray Administration is to help the District government reach a gold standard of customer service delivery, exemplified by three key components:
  • Prompt and thorough response to constituent calls, written correspondence and requests for service
  • Professional and courteous treatment of constituents
  • Reliable entry points to government services
So the citizens of DC have the following online entry points:Request a ServiceCustomer ServiceOffice of Neighborhood EngagementCeremonial Greetings, and 311 Customer Satisfaction Survey

The top ten online services you can request are: Broken Meters, Residential Bulk Collection, Parking Enforcement, Tree Services, Illegal Dumping, Street and Alley Light Repair, Alley Cleaning, Residential Trash and Recycling, Street Sweeping, and Illegal Posters>

The featured services come with performance measures:
  • Sidewalk Repair: DDOT resolves sidewalk repair requests within 25 business days.
  • Broken Parking Meters: Single-space meters are fixed within 72 hours, multi-space within 24.
  • Streetlight Repairs: Expected date of completion depends upon the nature of the problem.
The Service Request Center Online allows one to:
  • Submit a New Service Request
  • Check Service Request Status
  • Check Your Request History
  • View 311 Service Requests Map
  • Resolution Time Table
The 311 Service Requests Map (shown above) interested me the most, but I was also interested in all the data in the DC Data Catalog. The new international Open Data Handbook cites the DC Data Catalog as a best practice because it allows data to be downloaded in CSV and XLS formats in addition to providing live feeds of the data.

If one can download the actual data and use it for their own analysis, that is considered a best practice now-days so crowd-sourcing can occur. Crowd-sourcing means anyone can take anyone's data and do anything they want with it. This is the basis for innovation and new jobs with open government data.>

For years the District of Columbia Office of the Chief Technology Officer (OCTO) has provided public access to city operational data on the Internet. Now the District of Columbia OCTO's Data Catalogprovides citizens with the access to 995 datasets from multiple agencies as a catalyst to encourage agencies to operate as in a more responsive, better performing way. 
These data sets can be downloaded in XML, Text/CSV, KML or ESRI Shapefile formats to create visualizations. Some data sets are already visualized on Google Maps as shown above for 311 Service Requests. One can also use the data catalog to subscribe to 12 live data feeds.>

To use the DC Data Catalog, I had to first make it more searchable by converting its XML file to a spreadsheet and importing it into a visualization tool to create a dashboard. I also had to select an interesting data set and boundary files to display it on in order to create an analytic capability beyond the example above. I selected the historic 311 Services data set (shown live above) because it had good Metadata and was a relatively big data set with 429,676 rows by 37 columns.

The analytic dashboard is shown live elsewhere. One can see the definitions and examples of each of the 62 data columns in the 311 Services data set.

One can also filter the data set by Service Status (Closed, Open, OverDue Closed, and OverDue Open) to see the numbers in the Bar Chart and the spatial distribution in the Scatter Plot.

The DC Data Catalog can be filtered by 11 Categories: Government Operations, Other, Environment, Infrastructure, HealthCare, Demographics, Economic Development, Education, Historical Outlook, Human Services, and Public Safety. 

Based on my drill-downs into various files, the Gray Administration is providing an excellent online 311 service to its citizens based on historical data analysis. And its DC Data Catalog is a best practice of crowd-sourcing based on the fact that I was able to work with it to produce my own dashboard of services.

Story

What's on My Dashboard Today?: The District of Columbia Data Catalog and 311 Message Service

DCDataCatalogue-311RequestsGoogleMaps.png

 

If you were the mayor of the District of Columbia, how would you provide customer service? One major goal of the Gray Administration is to help the District government reach a gold standard of customer service delivery, exemplified by three key components:

  1. Prompt and thorough response to constituent calls, written correspondence and requests for service
  2. Professional and courteous treatment of constituents
  3. Reliable entry points to government services

So the citizens of DC have the following online entry points:Request a ServiceCustomer ServiceOffice of Neighborhood EngagementCeremonial Greetings, and 311 Customer Satisfaction Survey

 
The top ten online services you can request are: Broken Meters, Residential Bulk Collection, Parking Enforcement, Tree Services, Illegal Dumping, Street and Alley Light Repair, Alley Cleaning, Residential Trash and Recycling, Street Sweeping, and Illegal Posters.

The featured services come with performance measures:

  • Sidewalk Repair: DDOT resolves sidewalk repair requests within 25 business days.
  • Broken Parking Meters: Single-space meters are fixed within 72 hours, multi-space within 24.
  • Streetlight Repairs: Expected date of completion depends upon the nature of the problem.
 
The Service Request Center Online allows one to:
  • Submit a New Service Request
  • Check Service Request Status
  • Check Your Request History
  • View 311 Service Requests Map
  • Resolution Time Table

The 311 Service Requests Map (shown above) interested me the most, but I was also interested in all the data in the DC Data Catalog. The new international Open Data Handbook cites the DC Data Catalog as a best practice because it allows data to be downloaded in CSV and XLS formats in addition to providing live feeds of the data. If one can donwload the actual data and use it for their own analysis, that is considered a best practice nowdays so crowd-sourcing can occur. Crowd-sourcing means anyone can take anyone's data and do anything they want with it. This is the basis for innovation and new jobs with open government data.

For years the District of Columbia Office of the Chief Technology Officer (OCTO) has provided public access to city operational data on the Internet. Now the District of Columbia OCTO’s Data Catalog provides citizens with the access to 995 datasets from multiple agencies as a catalyst to encourage agencies to operate as in a more responsive, better performing way.

These data sets can be downloaded in XML, Text/CSV, KML or ESRI Shapefile formats to create visualizations. Some data sets are already visualized on Google Maps as shown above for 311 Service Requests. One can also use the data catalog to subscribe to 12 live data feeds.

To use the DC Data Catalog, I had to first make it more searchable by converting its XML file to a spreadsheet and importing it into a visualization tool to create a dashboard. I also had to select an interesting data set and boundary files to display it on to create an analytic capability beyond the example above. I selected the historic 311 Services data set (shown llive above) because it had good Metadata and was a relatively big data set with 429,676 rows by 37 columns.

The analytic dashboard is shown below and live elsewhere. One can see the definitions and examples of each of the 62 data columns in the 311 Services data set. One can also filter the data set by Service Status (Closed, Open, OverDue Closed, and OverDue Open) to see the numbers in the Bar Chart and the spatial distribution in the Scatter Plot. For example, there are 239,623, 9472, 107,178, and 33,369, respectively, in 2010, for a total of 384.643. I had to remove 45,033 rows (about 10%) with missing Latitude and Longitude to map properly. That is a lot of 311 services in a year and less than 9% were OverDue Open!

DCDataCatalogue-Spotfire1.png

 

The DC Data Catalog contains the following file formats: CSV (33), KML (354), KMZ (18), SHAPE (337), XLS (93), ZIP (136), and Empty (24) which can be filtered by 11 Categories (Government Operations, Other, Environment, Infrastructure, HealthCare, Demographics, Economic Development, Education, Historical Outlook, Human Services, and Public Safety). Thus only 126 (about 13%) of the 995 data sets are CSV and XLS. One would have to open each of the 136 ZIP files to see if they are CSV or XLS, but that would mean 262 (26% could be CSV and XLS, still not like the US, EU, or Japanese Statistical Yearbooks with 100s to 1000s.

So the Gray Administration is providing an excellent online 311 service to its citizens based on historical data analysis and its DC Data Catalog is a best practice of crowd-sourcing because I was able to work with it to produce my own dashboard of services.

Stay tuned for my next What's on My Dashboard Today.

Slides

Slides 1

DC Data Catalogue 311 Services Data Table, Dictionary, Bar Chart of Ststus, and Scatter Plot of Status

DCDataCatalogue-Spotfire1.png

Slide 2

Knowledge Base of Open Data Handbook and DC Data Catalogue, Data Dictionary, abd Bar Chart of File Formats

DCDataCatalogue-Spotfire2.png

Slide 3

Census Block Group for 2010 for DC Shape File

DCDataCatalogue-Spotfire3.png

Slide 4

Census Tract Boundary for 2010 for DC Shape File

DCDataCatalogue-Spotfire4.png

 

Spotfire Dashboard

For Internet Explorer Users and Those Wanting Full Screen Display Use: Web Player Get Spotfire for iPad App

Error: Embedded data could not be displayed. Use Google Chrome

Research Notes

The Open Data Handbook discusses the legal, social, and technical aspects of open data. Because the Open Data Handbook is so valuable, I made it so you can browse the Table of Contents and Search the entire document in the Google Chrome Browser using Find to learn more about Open Data.

Open data is data that can be freely used, reused and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike.

The full Open Definition gives precise details as to what this means. To summarize the most important:

  • Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
  • Reuse and Redistribution: the data must be provided under terms that permit reuse and redistribution including the intermixing with other datasets.
  • Universal Participation: everyone must be able to use, reuse and redistribute - there should be no discrimination against fields of endeavour or against persons or groups. For example, ‘non-commercial’ restrictions that would prevent ‘commercial’ use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.

If you’re wondering why it is so important to be clear about what open means and why this definition is used, there’s a simple answer: interoperability.

Providing a clear definition of openness ensures that when you get two open datasets from two different sources, you will be able to combine them together, and it ensures that we avoid our own ‘tower of babel’: lots of datasets but little or no ability to combine them together into the larger systems where the real value lies.

There is no requirement to create a comprehensive list of your datasets. The main point to bear in mind is whether it is feasible to publish this data at all (whether openly or otherwise) - see the ‘What Data’ section above. MY NOTE: I disagree!

Thus, if you are planning to make your data available you should put a license on it – and if you want your data to be open this is even more important. MY NOTE: I disagree!

Glossary Excerpts

Open Data: Open data are able to be used for any purpose. More details can be read at http://opendefinition.org.

 
Open Government Data: Open data produced by the government. This is generally accepted to be data gathered during the course of business as usual activities which do not identify individuals or breach commercial sensitivity. Open government data is a subset of Public
 
Sector Information, which is broader in scope. See http://opengovernmentdata.org for details.
 
Open standards: Generally understood as technical standards which are free from licencing restrictions. Can also be interpreted to mean standards which are developed in a vendor-neutral manner.
 
PSI: See Public Sector Information.
 
Public domain: No copyright exists over the work. Does not exist in all jurisdictions.
 
Public Sector Information: Information collected or controlled by the public sector.
 
Re-use: Use of content outside of its original intention.

 

Data Catalog

Source: http://data.octo.dc.gov/

Data Catalog Logo

For years the District of Columbia has provided public access to city operational data through the Internet. Now the District provides citizens with the access to 498 datasets from multiple agencies, a catalyst ensuring agencies operate as more responsive, better performing organizations. Use the data catalog below to subscribe to a live data feed in Atom format and access data in XML, Text/CSV, KML or ESRI Shapefile formats. Please note that by accessing the data catalog and feeds, you agree to our Terms of Use. Please read before accessing the data. All data visualizations on maps should be considered approximate. The visualizations provided by this application include only records that can be mapped. If you have any questions or comments about the DC Data Catalog, please contact us atcitydw@dc.gov. Visit DC FOIA page for information on FOIA requests.

Create Your Own Visualizations using DC datasets

Free websites such as Many Eyes allow users to create and share a variety of data visualizations. Below are the links to some interactive graphs and charts created based on DC datasets. You can create your own visualization using already uploaded datasets or slice and dice data the way no one did before. Please email us at citydw@dc.gov if you want your visualization to be featured on this page.

To learn more about these visualization tools, click here.

Disclaimer...

Browse Catalog

Please note that data feeds contain the latest update from the source database (which might include records from several days ago and not today’s date).

Displaying  Enter a keyword to search   See all

Category: All categories

Title Source XML Text/CSV Atom<wbr/>(GeoRSS support) KML/ESRI Shapefile Maps Download
District Payments To All Vendors, By CBE Status, FY12, Q1 OCTO   CSV
01/27/2012
         
Provides information regarding payments made to vendors in FY12, Q1 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY12, Q2 OCTO   CSV
05/01/2012
         
Provides information regarding payments made to vendors in FY12, Q2 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY12, Q3 OCTO   CSV
07/20/2012
         
Provides information regarding payments made to vendors in FY12, Q3 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY12, Q4 OCTO   CSV
10/17/2012
         
Provides information regarding payments made to vendors in FY12, Q4 for goods or services provided to the District.
ITSA Current Awarded Engagements Optimal Solutions and Technologies XML
11/30/2012
CSV
11/30/2012
Atom
11/30/2012
KML
11/30/2012
  See it on<wbr/>Google Maps  
Provides information about the District's IT Staff Augmentation (ITSA) Awarded Engagements. XML Schemas
ITSA Current Open Requirements Optimal Solutions and Technologies XML
11/30/2012
CSV
11/30/2012
Atom
11/30/2012
       
Provides information about the District's IT Staff Augmentation (ITSA) Requirements currently open for candidate submission by registered vendors. XML Schemas
ITSA Invoice and Vendor Payment Schedule Optimal Solutions and Technologies XML
12/02/2012
CSV
12/02/2012
Atom
12/02/2012
       
Provides information about the ITSA Invoice and Vendor Payment Schedule.
ITSA Program Managers – Time to Fill Optimal Solutions and Technologies XML
12/02/2012
CSV
12/02/2012
Atom
12/02/2012
       
Provides information about ITSA Program Managers’ Time-to-fill for positions competed in the CBE community.
311 Service Requests Citywide Call Center XML
12/03/2012
CSV
12/03/2012
Atom
12/03/2012
KML
12/03/2012
  See it on<wbr/>Google Maps Custom download
Provides data on service requests submitted to the Mayor's 311 Call Center and the online Service Request Center. XML Schemas
Basic Business Licenses DCRA XML
12/03/2012
CSV
12/03/2012
Atom
12/03/2012
KML
12/03/2012
  See it on<wbr/>Google Maps  
Provides information on Basic Business Licenses issued by DCRA
Building Permits DCRA XML
12/03/2012
CSV
12/03/2012
Atom
12/03/2012
KML
12/03/2012
  See it on<wbr/>Google Maps Custom download
Provides information on building permits granted by the Department of Consumer and Regulatory Affairs (DCRA). XML Schemas
CBEs active in ITSA Program Optimal Solutions and Technologies XML
11/26/2012
CSV
11/26/2012
Atom
11/26/2012
KML
11/26/2012
  See it on<wbr/>Google Maps  
Provides information about the Certified Business Enterprises (CBEs) currently registered in the ITSA program and eligible to submit candidates for open requirements.
CJIS Juvenile Arrests and Charges MPD XML
09/14/2012
CSV
09/14/2012
Atom
09/14/2012
      Custom download
Provides juvenile arrests and charges reported by the Metropolitan Police Department (MPDC), aggregated to block level. XML Schemas
Completed Construction Projects 2003 DDOT XML
01/01/2004
CSV
01/01/2004
  KML
01/01/2004
  See it on<wbr/>Google Maps  
Provides information on completed construction projects reported by DDOT in 2003.
Completed Construction Projects 2004 DDOT XML
01/01/2005
CSV
01/01/2005
  KML
01/01/2005
  See it on<wbr/>Google Maps  
Provides information on completed construction projects reported by DDOT in 2004.
Completed Construction Projects 2005 DDOT XML
01/01/2006
CSV
01/01/2006
  KML
01/01/2006
  See it on<wbr/>Google Maps  
Provides information on completed construction projects reported by DDOT in 2005.
Completed Construction Projects 2006 DDOT XML
01/01/2007
CSV
01/01/2007
  KML
01/01/2007
  See it on<wbr/>Google Maps  
Provides information on completed construction projects reported by DDOT in 2006.
Completed Construction Projects 2007 DDOT XML
01/01/2008
CSV
01/01/2008
  KML
01/01/2008
  See it on<wbr/>Google Maps  
Provides information on completed construction projects reported by DDOT in 2007.
Completed Construction Projects 2008 DDOT XML
01/01/2009
CSV
01/01/2009
  KML
01/01/2009
  See it on<wbr/>Google Maps  
Provides information on completed construction projects reported by DDOT in 2008.
Completed Construction Projects 2009 DDOT XML
01/01/2010
CSV
01/01/2010
  KML
01/01/2010
  See it on<wbr/>Google Maps  
Provides information on completed construction projects reported by DDOT in 2009.
Completed Construction Projects 2010 DDOT XML
12/31/2010
CSV
12/31/2010
Atom
12/31/2010
KML
12/31/2010
  See it on<wbr/>Google Maps Custom download
Provides information on completed construction projects reported by DDOT in 2010. XML Schemas
Crime incidents (ASAP) MPD XML
09/12/2012
CSV
09/12/2012
Atom
09/12/2012
KML
09/12/2012
  See it on<wbr/>Google Maps Custom download
Provides property and violent crime incidents reported by MPDC. XML Schemas
Current Construction Projects DDOT XML
12/09/2011
CSV
12/09/2011
Atom
12/09/2011
KML
12/09/2011
  See it on<wbr/>Google Maps Custom download
Provides information on current construction projects reported by DDOT. XML Schemas
DCRA Vacant Properties with Qualifying Exemption - 2009 DCRA   CSV
02/01/2010
         
Provides locations for DCRA Vacant Properties Exempt From Registration Fee
DCRA Vacant Properties with Qualifying Exemption – October 2010 DCRA   CSV
02/15/2011
         
Provides locations for DCRA Vacant Properties Exempt From Registration Fee
DCRA Vacant Properties without Qualifying Exemption - 2009 DCRA   CSV
02/01/2010
         
Provides locations for DCRA Vacant Properties Not Exempt From Registration Fee
DCRA Vacant Properties without Qualifying Exemption – October 2010 DCRA   CSV
02/15/2011
         
Provides locations for DCRA Vacant Properties Not Exempt From Registration Fee
District Payments To All Vendors, By CBE Status, FY10, Q1 OCTO   CSV
08/04/2010
         
Provides information regarding payments made to vendors in FY10, Q1 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY10, Q2 OCTO   CSV
08/04/2010
         
Provides information regarding payments made to vendors in FY10, Q2 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY10, Q3 OCTO   CSV
07/30/2010
         
Provides information regarding payments made to vendors in FY10, Q3 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY10, Q4 OCTO   CSV
10/06/2010
         
Provides information regarding payments made to vendors in FY10, Q4 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY11, Q1 OCTO   CSV
12/01/2011
         
Provides information regarding payments made to vendors in FY11, Q1 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY11, Q2 OCTO   CSV
12/01/2011
         
Provides information regarding payments made to vendors in FY11, Q2 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY11, Q3 OCTO   CSV
12/01/2011
         
Provides information regarding payments made to vendors in FY11, Q3 for goods or services provided to the District.
District Payments To All Vendors, By CBE Status, FY11, Q4 OCTO   CSV
12/01/2011
         
Provides information regarding payments made to vendors in FY11, Q4 for goods or services provided to the District.
FOIA Requests Processing & Disposition FY07 OS   CSV
07/22/2009
         
Provides information about processing and disposition of FY07 FOIA requests.
FOIA Requests Processing & Disposition FY08 OS   CSV
07/15/2009
         
Provides information about processing and disposition of FY08 FOIA requests.
Housing Code Enforcement DCRA XML
08/07/2008
CSV
08/07/2008
Atom
08/07/2008
KML
08/07/2008
  See it on<wbr/>Google Maps  
Provides housing code complaints, inspections and violation notices from DCRA, excluding public housing. XML Schemas
Key Performance Indicators OCA   CSV
01/11/2010
         
Provides information on the Key Performance Indicators for the District agencies
One-Stop Career Centers DOES   CSV
08/14/2009
         
Provides the locations and contact information for all One-Stop Career Centers in the District of Columbia.
Public Space Permits DDOT XML
11/07/2012
CSV
11/07/2012
Atom
11/07/2012
KML
11/07/2012
  See it on<wbr/>Google Maps Custom download
Provides current public space permits granted by the Department of Transportation (DDOT). XML Schemas
Purchase Card Transactions OCP   CSV
11/13/2012
         
Purchase card transaction information.
Purchase Orders OCP XML
12/03/2012
CSV
12/03/2012
Atom
12/03/2012
       
Purchase Orders with the amount spent greater than $2500. XML Schemas
Registered Property OTR XML
11/25/2012
CSV
11/25/2012
Atom
11/25/2012
      Custom download
Provides changes in the Office of Tax and Revenue (OTR) Real Property information. XML Schemas
Registered Vacant Property OTR XML
11/25/2012
CSV
11/25/2012
Atom
11/25/2012
      Custom download
Provides information for all vacant properties registered with the Office of Tax and Revenue (OTR) where their tax rates are set to a higher rate than normal properties. XML Schemas
ABRA License Classes and Fees ABRA   CSV
08/15/2009
         
Provides information about ABRA license classes, license types, and associated fees.
Artist Fellowship Program--Grants List 2009 DCCAH   CSV
09/30/2009
         
Provides information on the Fiscal Year 2009 Artist Fellowship Program grantees.
Arts Education Projects--Grants List 2009 DCCAH   CSV
09/30/2009
         
Provides information on the Fiscal Year 2009 Arts Education Projects grantees.
Assisted Living Residential Facilities DOH   CSV
07/15/2010
         
Provides a business directory that lists all licensed Assisted Living Residential Facilities in the District of Columbia..
Authorized 2009 Third Party Inspection Agencies DCRA   CSV
06/01/2008
         
Provides a listing by discipline of all authorized third party inspection agencies in the District of Columbia.
Autism Program Services DCPS   CSV
02/20/2009
  KML
02/20/2009
  See it on<wbr/>Google Maps  
Provides locations of autism classrooms.
Basic Business License Categories and Fees DCRA   CSV
08/14/2009
         
Provides a list of the business license categories in the District of Columbia and their associated fees.
Certified Community Based Mental Health Service Providers DMH   CSV
09/29/2009
         
Provides information on all DMH certified Community Based Mental Health Service Providers in the District of Columbia.
Child Placing Agencies HRLA XML
07/12/2010
CSV
07/12/2010
         
Provides a list of all Child-Placing Agencies under the auspices of the Child and Residential Care Facilities Division.
Child development Homes HRLA   CSV
08/15/2009
         
Provides a listing of all licensed Child Development Homes in the District.
Chiropractors--License Status DOH   CSV
09/29/2009
         
Provides information on the license status of chiropractors in the District of Columbia.
City Arts Projects-Grants List, 2009 DCCAH   CSV
09/30/2009
         
Provides information on the Fiscal Year 2009 City Arts Projects grantees.
Civil Infractions - Nursing Homes HRLA   CSV
08/14/2009
         
Provides a list of all nursing homes that were issued citations by the Health Regulation and Licensing Administration between the years of 2003 and 2008.
Community Residence Facilities DOH   CSV
09/29/2009
         
Provides a business directory that lists all licensed Community Residence Facilities in the District of Columbia.
Community Residential Programs DYRS   CSV
09/29/2009
         
Provides the contact information for all Community Residential Programs in the District of Columbia.
Cultural Facilities Program--Grants List, 2009 DCCAH   CSV
09/16/2009
         
Provides information on the Fiscal Year 2009 Cultural Facilities Program grantees.
DC Auditor Reports FY00 ODCA   CSV
07/14/2009
         
Provides information about FY00 Office of the DC Auditor reports.
DC Auditor Reports FY01 ODCA   CSV
07/30/2009
         
Provides information about FY01 Office of the DC Auditor reports.
DC Auditor Reports FY02 ODCA   CSV
07/30/2009
         
Provides information about FY02 Office of the DC Auditor reports.
DC Auditor Reports FY03 ODCA   CSV
07/30/2009
         
Provides information about FY03 Office of the DC Auditor reports.
DC Auditor Reports FY04 ODCA   CSV
07/12/2009
         
Provides information about FY04 Office of the DC Auditor reports.
DC Auditor Reports FY05 ODCA   CSV
07/12/2009
         
Provides information about FY05 Office of the DC Auditor reports.
DC Auditor Reports FY06 ODCA   CSV
07/17/2009
         
Provides information about FY06 Office of the DC Auditor reports.
DC Auditor Reports FY07 ODCA   CSV
07/17/2009
         
Provides information about FY07 Office of the DC Auditor reports.
DC Auditor Reports FY08 ODCA   CSV
07/10/2009
         
Provides information about FY08 Office of the DC Auditor reports.
DC Auditor Reports FY09 ODCA   CSV
07/10/2009
         
Provides information about FY09 Office of the DC Auditor reports.
DC Fatherhood Initiative (DCFI) 2009 Network Directory DHS   CSV
09/23/2009
         
Provides 2009 DCFI network directory
DCPS Computer Deployment DCPS       KML
11/27/2007
  See it on<wbr/>Google Maps  
Provides information on computer deployment in District of Columbia Public Schools. Use timeline slider in Google Earth to see different phases of deployment.
DDS Provider Assessment Results DDS   CSV
08/25/2009
         
Provides information on the results of assessments conducted by the Department of Disability Services on residential providers.
Delinquent Taxpayer Listing OTR   CSV
09/29/2009
         
Provides a directory that lists all business and individual delinquent taxpayers in the District of Columbia.
Donations First Quarter FY08 OPGS   CSV
09/23/2009
         
Provides information on donations approved by OPGS for 1nd quarter of FY08.
Donations First Quarter FY09 OPGS   CSV
09/23/2009
         
Provides information on donations approved by OPGS for 1st quarter of FY09.
Donations Second Quarter FY08 OPGS   CSV
09/23/2009
         
Provides information on donations approved by OPGS for 2nd quarter of FY08.
Donations Second Quarter FY09 OPGS   CSV
09/23/2009
         
Provides information on donations approved by OPGS for 2nd quarter of FY09.
Donations Third Quarter FY08 OPGS   CSV
09/23/2009
         
Provides information on donations approved by OPGS for 3rd quarter of FY08.
Donations Third Quarter FY09 OPGS   CSV
09/23/2009
         
Provides information on donations approved by OPGS for 3rd quarter of FY09.
East of the River Arts Initiatives--Grants List 2009 DCCAH   CSV
09/30/2009
         
Provides information on the Fiscal Year 2009 East of the River Arts Initiative grantees.
FY03 First Quarter Donations OPGS   CSV
09/01/2009
         
Provides information on donations approved by OPGS for 1st quarter of FY03.
FY03 Fourth Quarter Donations OPGS   CSV
09/01/2009
         
Provides information on donations approved by OPGS for 4th quarter of FY03.
FY03 Second Quarter Donations OPGS   CSV
09/30/2009
         
Provides information on donations approved by OPGS for 2nd quarter of FY03.
FY03 Third Quarter Donations OPGS   CSV
09/01/2009
         
Provides information on donations approved by OPGS for 3rd quarter of FY03.
FY04 First Quarter Donations OPGS   CSV
09/30/2009
         
Provides information on donations approved by OPGS for 1st quarter of FY04.
FY04 Fourth Quarter Donations OPGS   CSV
08/05/2009
         
Provides information on donations approved by OPGS for 4th quarter of FY04.
FY04 Second Quarter Donations OPGS   CSV
09/30/2009
         
Provides information on donations approved by OPGS for 2nd quarter of FY04.
FY04 Third Quarter Donations OPGS   CSV
08/17/2009
         
Provides information on donations approved by OPGS for 3rd quarter of FY04.
FY05 First Quarter Donations OPGS   CSV
09/30/2009
         
Provides information on donations approved by OPGS for 1st quarter of FY05.
FY05 Fourth Quarter Donations OPGS   CSV
09/30/2009
         
Provides information on donations approved by OPGS for 4th quarter of FY05.
FY05 Second Quarter Donations OPGS   CSV
09/29/2009
         
Provides information on donations approved by OPGS for 2nd quarter of FY05.
FY05 Third Quarter Donations OPGS   CSV
09/29/2009
         
Provides information on donations approved by OPGS for 3rd quarter of FY05.
FY06 First Quarter Donations OPGS   CSV
09/28/2009
         
Provides information on donations approved by OPGS for 1st quarter of FY06.
FY06 Fourth Quarter Donations OPGS   CSV
09/29/2009
         
Provides information on donations approved by OPGS for 4th quarter of FY06.
FY06 Second Quarter Donations OPGS   CSV
09/28/2009
         
Provides information on donations approved by OPGS for 2nd quarter of FY06.
FY06 Third Quarter Donations OPGS   CSV
09/29/2009
         
Provides information on donations approved by OPGS for 3rd quarter of FY06.
FY07 First Quarter Donations OPGS   CSV
09/28/2009
         
Provides information on donations approved by OPGS for 1st quarter of FY07.
FY07 Fourth Quarter Donations OPGS   CSV
09/28/2009
         
Provides information on donations approved by OPGS for 4th quarter of FY07.
FY07 Second Quarter Donations OPGS   CSV
09/28/2009
         
Provides information on donations approved by OPGS for 2nd quarter of FY07.
FY07 Third Quarter Donations OPGS   CSV
09/28/2009
         
Provides information on donations approved by OPGS for 3rd quarter of FY07.
FY08 Fourth Quarter Donations OPGS   CSV
09/28/2009
         
Provides information on donations approved by OPGS for 4th quarter of FY08.
Festivals DC Program--Grants List 2009 DCCAH   CSV
09/29/2009
         
Provides the Fiscal Year 2009 Festivals DC Program grant recipients.
Final School Budgets for FY10 DCPS   CSV
03/20/2009
         
This dataset displays the final school budgets for the 2010 fiscal year.
Folk & Traditional Arts Mini-Grant Program--Grants List 2009 DCCAH   CSV
09/30/2009
         
Provides information on the Fiscal Year 2009 Folk & Traditional Arts Mini-Grant Program grantees.
Grants in Aid to Organizations 2009 DCCAH   CSV
09/29/2009
         
Provides the Fiscal Year 2009 Grants-in-Aid to Organizations Program grantees.
Group Homes for Persons with Mental Retardation DOH   CSV
09/29/2009
         
Provides a business directory that lists all licensed Group Homes for Persons with Mental Retardation (GHPMR) in the District of Columbia.
Health Professional Licensing Fees HPLA   CSV
08/14/2009
         
Provides the examination and annual license fees for each health professional license class in the District of Columbia.
Healthy Families-Thriving Communities CFSA   CSV
09/29/2009
         
Provides a directory that lists all Healthy Family/Thriving Communities Collaboratives in the District of Columbia.
Hip Hop Community Arts Initiative DCCAH   CSV
09/29/2009
         
Provides Fiscal Year 2009 Hip Hop Community Arts Initiative Program grant recipients.
Hypothermia Shelters 2008-2009 DOH   CSV
09/23/2009
         
Provides information on Hypothermia Shelters.
Immunization Clinics For International Travell DOH   CSV
09/23/2009
         
Provides information on immunization clinics for international travel
Immunization Program Services - Adult Providers All Wards DOH   CSV
09/23/2009
         
Provides a directory for adult providers for all wards that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services - Maryland Pediatric Providers DOH   CSV
09/23/2009
         
Provides a directory for Maryland pediatric providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services - Pediatric Providers All Wards DOH   CSV
09/23/2009
         
Provides a directory for pediatric providers for all wards that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services – Ward 1 DOH   CSV
09/23/2009
         
Provides a directory for Ward 1 providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services – Ward 2 DOH   CSV
09/23/2009
         
Provides a directory for Ward 2 providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services – Ward 3 DOH   CSV
09/23/2009
         
Provides a directory for Ward 3 providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services – Ward 4 DOH   CSV
09/23/2009
         
Provides a directory for Ward 4 providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services – Ward 5 DOH   CSV
09/23/2009
         
Provides a directory for Ward 5 providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services – Ward 6 DOH   CSV
09/23/2009
         
Provides a directory for Ward 6 providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services – Ward 7 DOH   CSV
09/23/2009
         
Provides a directory for Ward 7 providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Immunization Program Services – Ward 8 DOH   CSV
09/23/2009
         
Provides a directory for Ward 8 providers that can provide immunizations for free to Medicaid-covered, underinsured and uninsured individuals.
Intermediate Care Facilities for Mentally Retarded Persons DOH   CSV
09/29/2009
         
Provides a business directory that lists all licensed Intermediate Care Facilities for Mentally Retarded Persons in the District of Columbia.
Locations for Tax Forms OTR   CSV
09/23/2009
         
provides locations for tax form stands.
Marriage and Family Therapists--License Status DOH   CSV
09/29/2009
         
Provides information about the license status of Marriage and Family Therapists in the District of Columbia
Nurse Staffing Agencies-License Status DOH   CSV
09/29/2009
         
Provides information about the license status of Nurse Staffing Agencies-Licenses in the District of Columbia.
Nursing Home Administrators--License Status DOH   CSV
09/29/2009
         
Provides information on the license status of nursing home administrators in the District of Columbia.
OIG Reports 1998-2000 OIG   CSV
08/12/2009
         
Provides titles and links to OIG reports 1998-2000.
OIG Reports 2001-2003 OIG   CSV
08/25/2009
         
Provides information about OIG reports published in 2001-2003.
OIG Reports 2004-2005 OIG   CSV
08/25/2009
         
Provides information about OIG reports published in 2004-2005.
OIG Reports 2006-2007 OIG   CSV
08/25/2009
         
Provides information about OIG reports published in 2006-2007.
OIG Reports 2008 OIG   CSV
08/25/2009
         
Provides information about OIG reports published in 2008.
OIG Reports 2009 OIG   CSV
08/25/2009
         
Provides information about OIG reports published in 2009.
Police Complaint Examiner Decisions 2003 OPC   CSV
09/09/2009
         
Provides information about the decisions that have been issued in 2003 by complaint examiners resolving complaints filed with the Office of Police Complaints.
Police Complaint Examiner Decisions 2004 OPC   CSV
09/09/2009
         
Provides information about the decisions that have been issued in 2004 by complaint examiners resolving complaints filed with the Office of Police Complaints.
Police Complaint Examiner Decisions 2005 OPC   CSV
09/09/2009
         
Provides information about the decisions that have been issued in 2005 by complaint examiners resolving complaints filed with the Office of Police Complaints.
Police Complaint Examiner Decisions 2006 OPC   CSV
09/09/2009
         
Provides information about the decisions that have been issued in 2006 by complaint examiners resolving complaints filed with the Office of Police Complaints.
Police Complaint Examiner Decisions 2007 OPC   CSV
09/09/2009
         
Provides information about the decisions that have been issued in 2007 by complaint examiners resolving complaints filed with the Office of Police Complaints.
Police Complaint Examiner Decisions 2008 OPC   CSV
09/09/2009
         
Provides information about the decisions that have been issued in 2008 by complaint examiners resolving complaints filed with the Office of Police Complaints.
Police Complaint Examiner Decisions 2009 OPC   CSV
08/02/2010
         
Provides information about the decisions that have been issued in 2009 by complaint examiners resolving complaints filed with the Office of Police Complaints
Police Complaint Examiner Decisions 2010 OPC   CSV
10/01/2010
         
Provides information about the decisions that have been issued in 2010 by complaint examiners resolving complaints filed with the Office of Police Complaints
Recorder of Deeds Fee Charges OTR   CSV
08/16/2009
         
Provides a current list of fees assessed by the Recorder of Deeds for all land and general documents.
Registered DC Surveyors DCRA   CSV
03/31/2009
         
Provides information on Registered Surveyors in the District of Columbia authorized to perform field surveys and wall examinations.
School Mental Health Program List SY 08 - 09 DMH   CSV
08/16/2009
         
Provides a list of all District of Columbia Public and Charter Schools that are part of the Department of Mental Health's school based program.
Senior Luncheon Program Centers DCOA   CSV
09/29/2009
         
Provides the locations of all Senior Luncheon Program Centers funded by the DC Office on Aging.
Small Projects Program--Grants List 2009 DCCAH   CSV
09/30/2009
         
Provides information on the Fiscal Year 2009 Small Projects Program grantees.
Speech Language Pathologists/Audiologists--License Status DOH   CSV
09/23/2009
         
Provides the license status of Speech Language Pathologists and Audiologists in the District of Columbia.
Tax Preparation Clinics OTR   CSV
09/23/2009
         
Provides information on taxt preparation clinics
Tobacco Directory OCFO   CSV
09/29/2009
         
Provides a directory that lists the tobacco product manufacturers, with brand families and brand names, that have provided current and accurate certifications to the District of Columbia in accordance with DC Official Code § 7-1801.02 (2001) and the Tobacco Product Manufacturer Reserve Fund Complementary Procedures Act of 2004.
Top 200 Employers in the District DOES   CSV
08/18/2009
         
Provides a list of the top 200 employers in the District of Columbia as of 2007.
Young Artist Program--Grants List 2009 DCCAH   CSV
09/29/2009
         
Provides the Fiscal Year 2009 Young Artist Program grant recipients.
ABRA license locations ABRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
ABRA (Alcoholic Beverage Regulation Administration) license locations, such as bars and liquor stores.
ANC - 1990 BOEE via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
1990 Advisory Neighborhood Commission (ANC).
ANC - 2002 BOEE via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
2002 Advisory Neighborhood Commissions (ANC).
ANC - 2013 OP via DC GIS       KML
09/04/2012
ESRI
09/04/2012
   
 
Abandoned Vehicle Inspection Area DPW via DC GIS       KML
06/02/2010
ESRI
06/02/2010
   
areas that abandoned vehicle investigators are assigned for investigating abandoned vehicle service requests as well as recognizing abandoned vehicles and initiating enforcement
Above Ground Storage Tank FEMS via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Facilities in the District that have above ground storage tanks.
Address Points - MAR OCTO via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Address points located in all buildings. This is the GIS layer for the MAR.
Air Emissions EPA via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
Air release data from EPA Envirofacts.
Air Right Polygons DCRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Air rights lot polygons reflecting a party's right to construct an improvement above an existing area of land that is not owned by the constructor.
Air Space Restrictions NGA via DC GIS       KML
04/19/2006
ESRI
04/19/2006
   
Flight restrictions for regional DC area
Alley Frontage Lines DCRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Alley lines
Ambulatory Surgical Centers DOH via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Ambulatory surgical centers as defined by DOH.
Appropriations OTR via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
U.S Appropriations are lands set aside at the time of the original founding and platting of the city for use by the U.S. Federal Government.
Architect of the Capitol Areas AOC via DC GIS       KML
05/04/2009
ESRI
05/04/2009
   
Architect of the Capitol (AOC) areas
Assessment Neighborhoods OTR via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
Assessment Neighborhoods
Assessment Subneighborhoods OTR via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
Assessment subneighborhoods
Baker Plan OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Plan of the city of Washington : now building for the metropolis of America, and established as the permanent residence of Congress after the year 1800 / B. Baker sculp. Islington.
Bank Locations DISB via DC GIS   CSV
10/27/2009
  KML
10/27/2009
ESRI
10/27/2009
   
Banks in DC
Basketball and Other Recreation Courts DPR via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
 
Bicycle Count Locations DDOT via DC GIS       KML
10/27/2009
ESRI
10/27/2009
   
 
Bicycle Lane DDOT via DC GIS       KML
07/29/2010
ESRI
07/29/2010
   
Bicycle lanes in dc
Bike Routes - Signed DC GIS       KML
02/04/2008
ESRI
02/04/2008
   
Bike routes with signs in DC.
Block - Street OCTO via DC GIS       KML
02/24/2010
ESRI
02/24/2010
   
Centroids of address blocks
Bollards OCTO via DC GIS       KML
12/28/2009
ESRI
12/28/2009
   
Bollards around main district buildings and landmarks
Boundary Stones Location OCTO via DC GIS       KML
08/30/2011
ESRI
08/30/2011
   
 
Bridges and Tunnels DDOT via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Bridges and Tunnels
Bridges with Attributes - point DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
 
Bridges with Attributes - polygon DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
 
Broadband Adoption Rates - Residential OCTO via DC GIS       KML
08/29/2011
ESRI
08/29/2011
   
Residential broadband adoption rates by 2009 census block.
Building Restrictions DCRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Building restriction lines.
Buildings OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Building footprints with firewalls.
Buildings - 3D (ESRI Format ONLY) OCTO via DC GIS       KML
05/04/2009
ESRI
05/04/2009
   
Three dimensional buildings stored as ESRI multipatch shapes.
Bus Rapid Transit - planned DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
Part of 2030 transportation plan
Business Improvement Districts Individual BIDs viaDC GIS       KML
04/08/2010
ESRI
04/08/2010
   
Business Improvement Districts (BID).
CAMA - Commercial Property OTR via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Computer Assisted Mass Appraisal (CAMA) Data - data on house characteristics for most residential properties.
CAMA - Condominium Property OTR via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Commercial Assisted Mass Appraisal data for condos in DC.
CAMA - Residential Property OTR via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Commercial Assisted Mass Appraisal Data for residential property in the District.
Campus Areas - Zoning OZ via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Campus Areas from Office of Zoning
Capital Bike Share DDOT via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
Capital Bike share locations in the District
Capital Projects - 2011 OCTO via DC GIS       KML
08/30/2011
ESRI
08/30/2011
   
 
Capital Projects - 2012 OP via DC GIS       KML
06/22/2012
ESRI
06/22/2012
   
 
Car Share Locations DDOT via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
 
Catchment Area - DHS DHS via DC GIS       KML
07/29/2010
ESRI
07/29/2010
   
Department of Human Services Catchment or service areas for DC.
Cellular Service Area Boundaries FCC via DC GIS       KML
03/03/2010
ESRI
03/03/2010
   
Regional Cellular Service Area Boundaries.
Cemeteries OCTO via DC GIS       KML
12/28/2009
ESRI
12/28/2009
   
Cemeteries.
Census - Public Use Microdata Area Census Bureau viaDC GIS       KML
02/24/2009
ESRI
02/24/2009
   
A Public Use Microdata Area (PUMA) is a decennial census area for which the Census Bureau provides specially selected extracts of raw data from a small sample of long-form census records that are screened to protect confidentiality.
Census Block Groups - 2000 - DC Census Bureau viaDC GIS       KML
04/19/2011
ESRI
04/19/2011
   
Census block groups with some demographic information attached for 2000.
Census Block Groups - 2010 DC OP via DC GIS       KML
08/29/2011
ESRI
08/29/2011
   
Census block groups generally fit to the snapbase.
Census Blocks - 2000 - DC Census Bureau viaDC GIS       KML
04/19/2011
ESRI
04/19/2011
   
Census blocks for the District for 2000.
Census Blocks - 2010 - DC OP via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Census blocks generally fit to the snapbase.
Census Tracts - 1930 - DC Census Bureau viaDC GIS       KML
05/01/2009
ESRI
05/01/2009
   
1930 Census Tracts
Census Tracts - 1940 - DC Census Bureau viaDC GIS       KML
05/01/2009
ESRI
05/01/2009
   
1940 Census Tracts
Census Tracts - 1950 - DC Census Bureau viaDC GIS       KML
05/01/2009
ESRI
05/01/2009
   
1950 Census Tracts
Census Tracts - 1960 - DC Census Bureau viaDC GIS       KML
05/01/2009
ESRI
05/01/2009
   
1960 Census Tracts
Census Tracts - 1970 - DC Census Bureau viaDC GIS       KML
05/01/2009
ESRI
05/01/2009
   
1970 Census Tracts
Census Tracts - 1980 - DC Census Bureau viaDC GIS       KML
05/01/2009
ESRI
05/01/2009
   
1980 Census Tracts
Census Tracts - 1990 - DC Census Bureau viaDC GIS       KML
05/01/2009
ESRI
05/01/2009
   
1990 Census Tract Areas including basic census data
Census Tracts - 2000 - DC Census Bureau viaDC GIS       KML
04/18/2011
ESRI
04/18/2011
   
Census tracts generally fit to the snapbase.
Census Tracts - 2010 - DC Census Bureau viaDC GIS       KML
06/21/2012
ESRI
06/21/2012
   
2010 Census Tracts just geography
Central Employment Areas NCPC via DC GIS       KML
10/10/2007
ESRI
10/10/2007
   
Central Employment Areas (CEA).
Certificates of Occupancy DCRA via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
Certificate of Occupancy Points. Certificates of Occupancy (C of O) ensure that the use of a building, structure or land is compatible with the general intent of the Zoning Regulations and DC Building Codes.
Charter Schools DCPCSB via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Charter School points for 2006-2007 school year.
Child Care Sites DOH via DC GIS       KML
10/23/2006
ESRI
10/23/2006
   
Child Care Locations in DC
Civic and Neighborhood Associations EOM via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
Civic and neighborhood associations in DC.
Collaborative Area CFSA via DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
Collaborative Area boundaries delineating areas of focused family service development and support.
Commission of Fine Arts Jurisdiction Area OP via DC GIS       KML
04/02/2012
ESRI
04/02/2012
   
The Commission of Fine Arts boundary.
Commission of Fine Arts Review Area CFA via DC GIS       KML
04/02/2012
ESRI
04/02/2012
   
Commission of Fine Arts Review area where properties contained in this area are possibly subject to Commission of Fine Arts review. This is not the official CFA boundary.
Community Gardens DOE via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Community Gardens in DC
Commuter Bus Locations DDOT via DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
 
Complaints Resolved in FY09 DCTC   CSV
11/09/2009
         
Provides information on resolved complaints filed in 2009 fiscal year
Comprehensive Plan Planning Areas OP via DC GIS       KML
05/01/2009
ESRI
05/01/2009
   
This dataset contains polygons representing the 2006 DC comprehensive plan planning areas (Area Elements). The Comprehensive Plan includes 10 Area Elements.
Condo Lots DCRA via DC GIS       KML
10/15/2012
ESRI
10/15/2012
   
 
Condo Tables - Relate, Regime, and One to Many DCRA via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
Zip file contains tables that represent active condos in the District of Columbia to date. This can be related to ownerpoints and VPM layers on SSL, as well as master address repository (for physical structures not pk spaces) on ADDRESS_ID
Cultural features OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Cultural Areas, such as cemeteries, parks, and zoos.
DC Boundary OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
DC Boundary
DC Circulator Routes DDOT via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
DC Circulator Routes in DC.
DC Circulator Stops DDOT via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
 
DC Government Locations DGS via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
DC Government agency/office locations.
DC Properties DGS via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
District properties managed by the DC office of Property Management.
DHS Service Center DHS via DC GIS       KML
08/29/2011
ESRI
08/29/2011
   
 
Dialysis Clinics DOH via DC GIS   CSV
12/07/2004
  KML
12/07/2004
ESRI
12/07/2004
   
Dialysis Centers in DC.
Digital Inclusion Sites OCTO via DC GIS       KML
06/22/2012
ESRI
06/22/2012
   
 
District Boundary as defined by Bndy Stones OCTO via DC GIS       KML
08/30/2011
ESRI
08/30/2011
   
 
District Revitalization Areas - includes Anacostia Waterfront Initiative (AWI) OP via DC GIS       KML
10/29/2009
ESRI
10/29/2009
   
All internal DC Office of Planning projects and their boundaries - areas of revitalization.
Downtown Development Comprehensive Plan OP via DC GIS       KML
07/27/2006
ESRI
07/27/2006
   
Downtown development areas that are a key part of the Central Employment Area, as identified in the DC Comprehensive Plan (1984).
Economic Development Zones OP via DC GIS       KML
05/01/2009
ESRI
05/01/2009
   
Economic Development Zones
Electric SubStations OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Electric Substations.
Elementary School Attendance Zones DCPS via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Elementary School Boundaries
Ellicott Plan OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Plan of the city of Washington in the territory of Columbia : ceded by the states of Virginia and Maryland to the United States of America, and by them established as the seat of their government, after the year MDCCC / engrav'd by Sam'l Hill, Boston
Embassies OCTO via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
Locations of embassies.
Enterprise and Empowerment Zones EOM via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Enterprise and Empowerment Zones.
Evacuation Routes - Regional EMA via DC GIS       KML
10/12/2010
ESRI
10/12/2010
   
Evaucation routes for the DC region, out to the beltway.
Fire Alarm Districts FEMS via DC GIS       KML
05/01/2009
ESRI
05/01/2009
   
Fire local alarm district for each engine company.
Fire Battalion Areas FEMS via DC GIS       KML
04/08/2010
ESRI
04/08/2010
   
Fire Battalion alarm districts in DC.
Fire Hydrants WASA via DC GIS       KML
05/01/2009
ESRI
05/01/2009
   
WASA Fire hydrants in DC
Fire Stations FEMS via DC GIS       KML
08/29/2011
ESRI
08/29/2011
   
Fire Stations Point
Floodplains - 1985 FEMA via DC GIS       KML
07/27/2010
ESRI
07/27/2010
   
Original FEMA flood plains captured in 1985.
Floodplains - 2010 FEMA via DC GIS       KML
07/27/2010
ESRI
07/27/2010
   
From FEMA's Flood Insurance Rate Maps (FIRM) updated in 2010.
Floodplains - Base Flood Elevation FEMA via DC GIS       KML
07/27/2010
ESRI
07/27/2010
   
Contains base flood elevation measurements for AE flood zone determination.
Floodplains - Cross Section FEMA via DC GIS       KML
07/27/2010
ESRI
07/27/2010
   
Contains cross section terrain information as part of the flood plain work.
Floodplains - FIRM panel FEMA via DC GIS       KML
07/27/2010
ESRI
07/27/2010
   
Map tiles representing FEMA flood maps.
Floodplains - General Structure FEMA via DC GIS       KML
07/27/2010
ESRI
07/27/2010
   
Shows flood walls and other structures that protect and buffer water features.
Future Land Use OP via DC GIS       KML
06/22/2012
ESRI
06/22/2012
   
 
GSA Federal Locations GSA via DC GIS       KML
07/23/2012
ESRI
07/23/2012
   
Federal sites gathered from the GSA website.
Gas Stations DCEO via DC GIS   CSV
07/15/2009
  KML
07/15/2009
ESRI
07/15/2009
   
Gas Stations
Geodetic Control OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Geodetic control points used in the 2005 DC planimetric update.
Golf Courses OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Golf courses.
Good Plan OCTO via DC GIS       KML
07/02/2008
ESRI
07/02/2008
   
Plan of the city of Washington.
Grates OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Sewer grate inlets and catchbasins
Green Resources and Sites (Green Roofs incl) DDOE via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Contains DC green sites used in the dc greenmap. This includes green roof sites.
Grocery Stores OP via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Grocery stores in DC.
HIV Aids Clinics DOH via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
 
Halfway Houses - Correctional DOC via DC GIS       KML
02/08/2007
ESRI
02/08/2007
   
Correctional rehabilitation halfway houses.
Hawkins Topography OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Topography of the federal city, 1791 : [Washington D.C.] / by Don A. Hawkins, Washington, D.C.
Hazardous Waste Locations EPA via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
Hazardous waste locations from EPA envirofacts.
Heliports USDOT via DC GIS       KML
05/04/2009
ESRI
05/04/2009
   
Heliports in DC.
Heritage Trail Cultural Tourismvia DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
District historical heritage trails from Cultural Tourism.
Heritage Trail Sign CulturalTourismDCvia DC GIS       KML
02/23/2011
ESRI
02/23/2011
   
 
High Tech Development Zones EOM via DC GIS       KML
07/21/2005
ESRI
07/21/2005
   
High tech development zones as defined by the Office of the Mayor for Planning and Economic Development
Highway Advisory Radio DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
 
Highway Plans DCRA via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
Highway plans capture as part of the vector property map
Historic Districts OP via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Historic Districts
Historic Landmark Sites OP via DC GIS       KML
06/22/2012
ESRI
06/22/2012
   
 
Historic Landmarks OP via DC GIS       KML
06/22/2012
ESRI
06/22/2012
   
 
Historic Landmarks Elements OP via DC GIS       KML
06/29/2012
ESRI
06/29/2012
   
 
Historic Landmarks Point OP via DC GIS       KML
06/22/2012
ESRI
06/22/2012
   
 
Historic Sewer Survey OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Exhibit chart showing streets & avenues of the cities of Washington and Georgetown, improved under the Board of Public Works, D.C. : Nov. 1st 1873 : sewers.
Historic Shaded Relief OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Territory of Columbia
Historic Street Lines OP via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
L'Enfant Plan Historic Street Linework
Historic Streets OP via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
L'Enfant Plan Historic Streets
Historic View of DC OCTO via DC GIS       KML
07/01/2008
ESRI
07/01/2008
   
View of the city of Washington in 1792.
Hopkins Survey OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Atlas of fifteen miles around Washington, including the counties of Fairfax and Alexandria, Virginia / compiled and published from actual surveys by G.M. Hopkins.
Hospitals DOH via DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
Hospital Points - primary and specialty
Hotel OCTO via DC GIS   CSV
08/29/2011
  KML
08/29/2011
ESRI
08/29/2011
   
Hotel locations in the district including bed and breakfast sites.
Hub Zones (Historically Underutilized Business Zones) OP via DC GIS       KML
07/05/2012
ESRI
07/05/2012
   
Areas in the District, defined from census tracts, offering incentives to new small businesses.
Human Service Locations DHS via DC GIS   CSV
04/18/2007
  KML
04/18/2007
ESRI
04/18/2007
   
Answers Please links DC residents with a network of government and community social service providers, specializing in referrals that meet essential human needs for food, shelter, financial assistance, and healthcare.
Hydrography OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Hydrography
Hydrography Centerline OCTO via DC GIS       KML
05/01/2009
ESRI
05/01/2009
   
Hydrography centerlines
Impervious Surface - 2010 OCTO via DC GIS       KML
10/25/2012
ESRI
10/25/2012
   
Outdoor Building Stairs, Buildings, Sidewalks, Roads, Alleys, Driveways, and Swimming Pools.
Independent schools OCTO via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
Independent School locations, such as private and parochial schools.
Intersections - Street OCTO via DC GIS       KML
08/29/2011
ESRI
08/29/2011
   
Street intersections from the master address repository.
Jattnig Plan OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Plan of the city of Washington / nach dem englischen Original gestochen von Carl Jättnig in Berlin.
Johnson and Ward Survey OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Johnson's Georgetown and the city of Washington : the capital of the United States of America / by Johnson and Ward.
Keily Survey OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Map of the city of Washington D.C. : established as the permanent seat of the government of the U.S. of Am. / James Keily, surveyor.
Kroe Plan OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Plan der stad Washington : bestemd tot de hoofdstad van America, en ter bestendige verblijfplaats van het Congres, naa het jaar 1800.
L'Enfant Plan Boundary OP via DC GIS       KML
07/27/2006
ESRI
07/27/2006
   
Contains original boundaries of L'Enfant Plan.
LEnfant Plan OCTO via DC GIS       KML
05/04/2009
ESRI
05/04/2009
   
 
Land Cover - 2006 DDOT via DC GIS       KML
10/27/2009
ESRI
10/27/2009
   
High-resolution land cover for Washington, D.C. This land-cover map was developed for use in an Urban Tree Canopy (UTC) assessment for the city.
Land Use - Existing OP via DC GIS       KML
07/27/2006
ESRI
07/27/2006
   
Contains 2004 existing land use designations in the District.
Land Use - Planned 2006 OP via DC GIS       KML
04/18/2007
ESRI
04/18/2007
   
This dataset was originally traced from the January 2002 District of Columbia Generalized Land Use map, and then was edited extensively to reflect the Comprehensive Plan adopted by the Council of the District of Columbia in December, 2006.
Latrobe Survey OCTO via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Map exhibiting the property of the U.S. in the vicinity of the Capitol 1815
Lead Service Boundary - Office of Aging OA via DC GIS       KML
07/29/2010
ESRI
07/29/2010
   
Boundaries of lead service providers for Office of Aging services.
Lead Service Provider - Office of Aging OA via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Lead service providers for Office of Aging services.
Leaf Boundary DPW via DC GIS       KML
10/21/2011
ESRI
10/21/2011
   
 
Libraries DCPL via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Library Points
Litter Cans DPW via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
 
MS4 Storm Sewershed - Areas DDOE via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Individual MS4 storm sewersheds defined from outfalls and topography.
MS4 Storm Sewershed - Boundary DDOE via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
 
MS4 Storm Sewershed - Impervious Areas DDOE via DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
Impervious areas located within ms4 storm sewershed polygons.
Main Street Program Area OP via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
Locations of planned commercial growth in neighborhoods and specified streets.
Marinas DDOE via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
Marinas in DC.
Metro Bus Lines WMATA via DC GIS       KML
10/23/2006
ESRI
10/23/2006
   
Metro bus lines in DC
Metro Bus Stops WMATA via DC GIS       KML
08/29/2011
ESRI
08/29/2011
   
Metro bus stops in the DC region.
Metro Entrance Structures OCTO via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Structures enclosing metro entrances when not in a building.
Metro Lines - Complete System WMATA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Metro Lines for the complete WMATA system.
Metro Park and Ride Lots WMATA via DC GIS       KML
05/01/2009
ESRI
05/01/2009
   
Metro park and ride parking lots
Metro Station Entrances WMATA via DC GIS       KML
10/21/2011
ESRI
10/21/2011
   
Metro Station Entrance Points
Metro Station to Line Cross Reference WMATA via DC GIS         ESRI
01/12/2004
   
Relates a metro station to the lines running through it.
Metro Stations - Complete System WMATA via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Metro Stations for the complete WMATA system.
Middle School Attendance Zones DCPS via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
Middle School Boundaries
Military Locations OCTO via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
Military Installation locations
Miscellaneous Polygons OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Miscellaneous Polygon features, such as planters.
Miscellaneous Transportation Features OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Miscellaneous Transportation features, such as ramps, trails, barriers, and guardrails.
Neighborhood Composition OP via DC GIS       KML
07/27/2006
ESRI
07/27/2006
   
Areas, as defined by 1990 census tracts, containing the neighborhood composition index that describes the socio-economic status of neighborhoods.
Neighborhood Investment Fund Areas EOM via DC GIS       KML
02/24/2009
ESRI
02/24/2009
   
The Neighborhood Investment Fund finances economic development in certain District neighborhoods, target areas.
Neighborhood clusters OP via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Defines the boundaries of the 39 clusters of neighborhoods now used by OP and other agencies for planning and management
No Fly Zones NGA via DC GIS       KML
04/13/2006
ESRI
04/13/2006
   
No Fly zones P56a and P56b in DC.
Non Depository banks DISB via DC GIS       KML
05/11/2007
ESRI
05/11/2007
   
Non-Depository Licensed Branch locations.
NonProfit Tax Abatement EOM via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Notary Public ONCA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Notary Publics in the District
Nursing homes OA via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Nursing home locations.
Obscured areas OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Obscured Areas.
Orthophoto of DC - 1995 OCTO via DC GIS         ESRI
02/27/2004
   
1995 Orthophoto Mosaic for DC - 20cm resolution.
Orthophoto of DC - 1999 OCTO via DC GIS         ESRI
02/27/2004
   
1999 Orthophoto Mosaic for DC - 20cm resolution.
Orthophoto of DC - 2002 USGS via DC GIS         ESRI
07/13/2004
   
2002 Orthophoto Mosaic for DC - 30cm resolution.
Orthophoto of DC - 2005 DC GIS       KML
07/17/2006
ESRI
07/17/2006
   
2002 Orthophoto Mosaic for DC - 1ft resolution. Captured in April 2005.
Orthophoto of DC - 2008 OCTO via DC GIS       KML
04/29/2009
ESRI
04/29/2009
   
Ortho of DC flown in May 2008
Orthophoto of DC - 2010 OCTO GIS via DC GIS       KML
12/10/2010
ESRI
12/10/2010
   
 
Orthophoto of DC - 2012 NGA via DC GIS       KML
10/15/2012
ESRI
10/15/2012
   
1 foot resolution orthophoto of DC flown in late spring 2012.
Other Bus Route Stops OCTO via DC GIS       KML
10/21/2011
ESRI
10/21/2011
   
Bus line stops supplemental to WMATA bus routes.
Other Bus Routes OCTO via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Bus lines supplemental to WMATA bus routes.
Other traffic signs OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Other Traffic Control Signs.
Overlay Zones OZ via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Overlay Zones.
Owner Points OTR via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Owner Points from the RPTA Tax file extract.
Ownerpoint - Field Descriptions OTR via DC GIS         ESRI
01/12/2006
   
Owner Points table layout with field descriptions for revamped 2005 ITS owner-point file.
Ownerpoint - Use code descriptions OTR via DC GIS       KML
01/13/2004
ESRI
01/13/2004
   
Lookup table containing the use code values, short and long descriptions. Use code is part of the ownerpoint file.
Parcel Lots DCRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Parcel lots as part of the vector property map
Parcels/Cadastral/Ownership Layer for DC (aka Owner Polygons) DCRA via DC GIS       KML
11/28/2012
ESRI
11/28/2012
   
This contains property polygons representing ownership across the District. This is the District's parcel/cadastral layer.
Parking Beats DDOT via DC GIS       KML
06/27/2005
ESRI
06/27/2005
   
Parking Beats.
Parks OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
National Parks in DC from NPS Map A.
Partial Light Plow Routes DDOT via DC GIS       KML
12/28/2009
ESRI
12/28/2009
   
Partial light plow route areas
Pavement Marking DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Places of worship OCTO via DC GIS       KML
02/24/2009
ESRI
02/24/2009
   
Places of worship locations.
Planned Unit Developments OZ via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Planned Unit Developments (PUDs) are zoning designations granted to a specific project at a specific location.
Points of Interest (Address Alias Names) OCTO via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Address alias locations containing primary and alternate names of well known features. This includes points of interest, fire stations, schools, etc.
Police Districts MPD via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
Police Districts
Police Service Areas MPD via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Police Service Areas (PSA).
Police Stations MPD via DC GIS       KML
08/29/2011
ESRI
08/29/2011
   
Police Station Points
Polling Places BOEE via DC GIS   CSV
08/29/2011
  KML
08/29/2011
ESRI
08/29/2011
   
Polling Places in DC.
Polling Places - Alternate BOEE via DC GIS       KML
09/29/2010
ESRI
09/29/2010
   
Alternate polling places for elections if the primary site(s) cannot be used.
Portable Dynamic Sign Message DC GIS       KML
02/05/2008
ESRI
02/05/2008
   
 
Post Offices USPS via DC GIS   CSV
02/17/2011
  KML
02/17/2011
ESRI
02/17/2011
   
Post office locations.
Potential Districts OP via DC GIS       KML
06/22/2012
ESRI
06/22/2012
   
 
Potential Landmarks OP via DC GIS       KML
06/22/2012
ESRI
06/22/2012
   
 
Primary Care Facilities DOH via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Primary Care Service centers
Primary Signed Route DDOT via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
 
Public Easements DCRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Public Easements as part of the vector property map
Public Housing HA via DC GIS       KML
05/05/2009
ESRI
05/05/2009
   
Public Housing projects
Public Schools DCPS via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
DC Public Schools Point for the 2010-2011 school year. Still contains previous year's enrollment numbers.
Quadrants - DC OCTO via DC GIS       KML
07/21/2005
ESRI
07/21/2005
   
DC Quadrants
RSA Counselor Location DDS via DC GIS       KML
10/21/2011
ESRI
10/21/2011
   
Rehabilitative Services Agency Counselor and One stop sites
Railroads OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Railroads
Rapid Bus - planned DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
Part of 2030 transportation plan
Record Lot Polygons DCRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Record lots are defined by the DC Surveyor. They are created from surveys of metes and bounds by licensed surveyors, and are therefore the official lots that are used for the regulation of land use.
Recreation Facilities DPR via DC GIS       KML
09/29/2010
ESRI
09/29/2010
   
Recreation Facilities such as recreation centers and day care.
Recreation Outdoor Amenities DPR via DC GIS       KML
04/18/2007
ESRI
04/18/2007
   
Recreation amenities in dc
Recreation Parks DPR via DC GIS       KML
05/27/2010
ESRI
05/27/2010
   
Digital representation of DPR's properties, parks, and landholdings including NPS transfers.
Recycling Day Pickup DPW via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
 
Red Light Cameras MPD via DC GIS       KML
10/21/2011
ESRI
10/21/2011
   
Red Light Camera Locations.
Reservations DCRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Public landed owned by the federal government transferred to DC or managed under federa jurisdiction, usually NPS.
Residential Parking Permit Blocks DDOT via DC GIS       KML
02/05/2008
ESRI
02/05/2008
   
 
Retail Priority Area DCRA via DC GIS       KML
10/21/2011
ESRI
10/21/2011
   
 
Retail Site WDCEP via DC GIS       KML
09/29/2010
ESRI
09/29/2010
   
Medium to large retail site developments from Washington DC Economic Partnership
Right of Way - street corridors DDOT via DC GIS       KML
09/29/2010
ESRI
09/29/2010
   
Road attributes were updated using the scanned distribution cards and the scanned paper maps, are the street total, roadway total, the sidewalk widths and the parking area widths.
Right of Way - street corridors as polygons DDOT via DC GIS       KML
09/29/2010
ESRI
09/29/2010
   
Street and other ROWs generated as polygons representing their width from the street centerline.
Right of Way Scans - 1998 DDOT via DC GIS         ESRI
12/10/2010
   
Georeferenced scans depicting right of way widths for DC.
Roads OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Roads
SMD - 2002 BOEE via DC GIS       KML
08/29/2011
ESRI
08/29/2011
   
2002 Single Member Districts (SMD).
SMD - 2013 OP via DC GIS       KML
09/04/2012
ESRI
09/04/2012
   
 
Sale Point OTR via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Sales Points extracted from owner-points.
Salt Domes DDOT via DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
Salt Domes for snow removal located in the District.
School Crossing Guard DDOT via DC GIS       KML
05/06/2009
ESRI
05/06/2009
   
 
School Election Districts DCPS via DC GIS       KML
06/22/2005
ESRI
06/22/2005
   
School Election Districts
School Garden Sites DCPS via DC GIS       KML
10/15/2012
ESRI
10/15/2012
   
 
School Grounds DCPS via DC GIS       KML
10/23/2006
ESRI
10/23/2006
   
DC Public School ground estimated boundaries.
Secondary Signed Route DDOT via DC GIS       KML
05/06/2009
ESRI
05/06/2009
   
 
Senior High School Attendance Zones DCPS via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
Senior High School Boundaries
Senior Service Network Locations OA via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Office of Aging listed services for seniors including housing, independent living, and self-help. These are services part of the Senior Service Network Directory.
Sewersheds - Combined (CSO) DDOE via DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
Combined Sewershed Outfall boundary
Shaw Historic Sites OP via DC GIS       KML
07/27/2006
ESRI
07/27/2006
   
People and places of historic significance in the Shaw neighborhood of DC.
Shipstead-Luce Act Boundary OP via DC GIS       KML
12/14/2006
ESRI
12/14/2006
   
The Shipstead-Luce Act boundary serves as a basis to determine possible locations for sexually oriented businesses.
Shopping Centers OCTO via DC GIS       KML
05/06/2009
ESRI
05/06/2009
   
Shopping Centers in DC
Sidewalk Cafe DCRA via DC GIS       KML
10/21/2011
ESRI
10/21/2011
   
 
Sidewalks OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Sidewalks
Signalized Intersection DDOT via DC GIS       KML
03/01/2010
ESRI
03/01/2010
   
Signalized Intersection locations - captured typically at center of intersection.
Signed Bike Route DDOT via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
 
Small Area Plans OP via DC GIS       KML
09/13/2010
ESRI
09/13/2010
   
Major area plans for DC office of planning projects
Smart Bike Location DDOT via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
 
Snow Emergency Routes DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
Snow emergency routes.
Snow Plow Routes DDOT via DC GIS       KML
02/06/2012
ESRI
02/06/2012
   
 
Snow Removal Areas DDOT via DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
Snow removal areas, a subset of snow removal zones.
Snow Removal Zones DDOT via DC GIS       KML
12/28/2009
ESRI
12/28/2009
   
Snow removal zones.
Snow removal routes - all DDOT via DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
Snow removal routes, primary and secondary.
Soil areas USDA via DC GIS       KML
05/06/2009
ESRI
05/06/2009
   
Soils data - NRCS (SSURGO) federal government data.
Speciality Lighting DC GIS       KML
09/05/2008
ESRI
09/05/2008
   
 
Speed Camera DDOT via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
 
Speed Detector DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
 
Speed Humps DDOT via DC GIS       KML
07/15/2009
ESRI
07/15/2009
   
 
Square Polygons DCRA via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Property squares form the basic land boundary into which most real property lots are organized.
Stairs OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
 
Storm Sewer System areas WASA via DC GIS       KML
09/28/2010
ESRI
09/28/2010
   
Storm sewer system areas in DC.
Strategic Neighborhood Investment Program Areas OP via DC GIS       KML
07/27/2006
ESRI
07/27/2006
   
Priority District neighborhoods or locations that receive a series of public actions or funds to spur private sector investment, as part of the Strategic Neighborhood Investment Program (SNIP).
Street Car - planned DDOT via DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
2030 transportation plan
Street Centerlines DDOT via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
DDOT street centerlines containing address ranges.
Street Light DDOT via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
 
Street Roadway Segments - Alleys, ramps, service, and drives DDOT via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Street centerlines with streets, drives, service roads, alleys, and ramps.
Subwatersheds USGS via DC GIS       KML
09/28/2010
ESRI
09/28/2010
   
Subwatersheds in DC
Supercan Pickup Days DPW via DC GIS       KML
09/01/2011
ESRI
09/01/2011
   
 
Supercans DC GIS       KML
05/19/2008
ESRI
05/19/2008
   
 
Supermarket Tax Credit Zone OCTO via DC GIS       KML
08/30/2011
ESRI
08/30/2011
   
Area in the District where supermarkets obtain tax credits if constructed within that boundary.
Swimming pools OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Swimming Pools
Targeted Employment Area OCTO via DC GIS       KML
08/30/2011
ESRI
08/30/2011
   
 
Tax Increment Financing Areas EOM via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Tax Increment Financing (TIF) locations
Tax Lot Polygons DCRA via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Assessment and taxation lots.
Taxicab Company Information DCTC   CSV
11/12/2009
         
Provides information on taxicab companies in DC.
Taxicab and limousine Owner/Operator information DCTC   CSV
09/22/2009
         
Provides information on hack licenses issued to individuals.
Tennis Courts - Dept of Recreation DPR via DC GIS       KML
10/27/2009
ESRI
10/27/2009
   
Tennis courts open to the public on DPR sites
Thackara Vallance Plan OCTO via DC GIS       KML
05/12/2009
ESRI
05/12/2009
   
Plan of the city of Washington / Thackara & Vallance sc.
Topography - Ten foot contours OCTO via DC GIS       KML
07/28/2010
ESRI
07/28/2010
   
Ten foot contours selected out from the 2008 contour map.
Topography - Breaklines OCTO via DC GIS       KML
03/01/2010
ESRI
03/01/2010
   
Ridgelines and other features, such as walls and roads, that affect contour creation and shapel.
Topography - Spot Elevations OCTO via DC GIS       KML
12/29/2009
ESRI
12/29/2009
   
Densely spaced spot elevations used to generate 2 foot contours.
Topography - Twenty foot contours OCTO via DC GIS       KML
07/28/2010
ESRI
07/28/2010
   
20 foot contours selected from the 2008 contour map.
Topography - Two Foot Contours OCTO via DC GIS       KML
02/24/2010
ESRI
02/24/2010
   
Contours in two foot intervals.
Towers - AM FCC via DC GIS       KML
03/03/2010
ESRI
03/03/2010
   
Regional AM Towers.
Towers - Analog TV FCC via DC GIS       KML
03/03/2010
ESRI
03/03/2010
   
Regional Digital TV Towers
Towers - Antenna Structure Registration Locations FCC via DC GIS       KML
03/03/2010
ESRI
03/03/2010
   
Regional Antenna Structure Registration Locations
Towers - Cellular FCC via DC GIS       KML
03/02/2010
ESRI
03/02/2010
   
Regional cell towers.
Towers - Digital TV FCC via DC GIS       KML
03/03/2010
ESRI
03/03/2010
   
Regional Digital TV Towers
Towers - FM FCC via DC GIS       KML
03/02/2010
ESRI
03/02/2010
   
Regional FM towers.
Towers - Land Mobile Broadcasting FCC via DC GIS       KML
03/03/2010
ESRI
03/03/2010
   
Regional Land Mobile Broadcasting Towers
Towers - Land Mobile Commercial FCC via DC GIS       KML
03/02/2010
ESRI
03/02/2010
   
Regional Land Mobile Commercial Towers.
Towers - Land Mobile Private FCC via DC GIS       KML
03/02/2010
ESRI
03/02/2010
   
Regional Land Mobile Private towers
Towers - Microwave FCC via DC GIS       KML
03/02/2010
ESRI
03/02/2010
   
Microwave towers in the mid-atlantic region.
Towers - Multipoint Distribution and Instructional Television Fixed Services FCC via DC GIS       KML
03/02/2010
ESRI
03/02/2010
   
Regional Multipoint Distribution and Instructional Television Fixed Services towers
Towers - Paging FCC via DC GIS       KML
03/02/2010
ESRI
03/02/2010
   
Regional Paging towers
Towers - TV Contour Boundaries FCC via DC GIS       KML
03/02/2010
ESRI
03/02/2010
   
Regional TV Contour Boundaries (service areas).
Toxic Release Inventory Sites EPA via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
Toxic Release Inventory sites from EPA envirofacts.
Traffic Cabinet DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Traffic Camera DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Traffic Control Officer DDOT via DC GIS       KML
09/28/2010
ESRI
09/28/2010
   
 
Traffic Monitoring Stations DDOT via DC GIS       KML
09/28/2010
ESRI
09/28/2010
   
 
Traffic Pole DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Traffic Push Button DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Traffic Sign DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Traffic Signal DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Traffic Signal Arm DDOT via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
 
Trails DDOT via DC GIS       KML
07/29/2010
ESRI
07/29/2010
   
Trails in DC
Trails - NPS NPS via DC GIS       KML
05/06/2009
ESRI
05/06/2009
   
Trails from National Park Service - not the same as DDOT trails
Transfer of Development Rights - Zoning OZ via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
 
Transportation Analysis Zones COG via DC GIS       KML
05/01/2009
ESRI
05/01/2009
   
Transportation Analysis Zones from Metropolitan Washington Council of Governments.
Transportation Study Areas DC GIS       KML
02/05/2008
ESRI
02/05/2008
   
 
Trash Pickup Days DPW via DC GIS       KML
09/28/2010
ESRI
09/28/2010
   
 
Trees - Street DDOT via DC GIS       KML
06/21/2012
ESRI
06/21/2012
   
Street trees from DDOT _ Urban Forestry Administration containing more detailed attribution than the trees layer from the planimetrics.
Underground storage tanks EHA via DC GIS       KML
06/16/2006
ESRI
06/16/2006
   
Facilities with underground storage tanks (UST).
University Areas EMA via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
University Campus Boundaries.
University Locations OCTO via DC GIS       KML
11/24/2010
ESRI
11/24/2010
   
Universities
Utility poles OCTO via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Utility Poles.
Voting Precincts - 1990 BOEE via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
1990 Voting Precincts.
Voting Precincts - 2002 BOEE via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
2000 Voting precincts.
Voting Precincts - 2008 BOEE via DC GIS       KML
06/24/2008
ESRI
06/24/2008
   
 
Voting Precincts - 2012 BOEE via DC GIS       KML
10/10/2012
ESRI
10/10/2012
   
 
Wards - 1990 OP via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
1990 Ward Polygons
Wards - 2002 OP via DC GIS       KML
04/18/2007
ESRI
04/18/2007
   
2002 Ward Polygons
Wards - 2012 OCTO via DC GIS       KML
02/01/2012
ESRI
02/01/2012
   
 
Water Discharge Locations EPA via DC GIS       KML
02/17/2011
ESRI
02/17/2011
   
Water Discharge locations from EPA environfacts.
Waterbodies OCTO via DC GIS       KML
05/01/2009
ESRI
05/01/2009
   
WaterBodies
Watersheds DOE via DC GIS       KML
05/11/2007
ESRI
05/11/2007
   
Watersheds in DC.
Weigh in Motion Station DDOT via DC GIS       KML
09/28/2010
ESRI
09/28/2010
   
 
Wetlands USFWS via DC GIS       KML
01/12/2004
ESRI
01/12/2004
   
Wetlands (1:100k source scale).
Wheelchair Ramps DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
 
Wireless Hot Spot OCTO via DC GIS   CSV
10/12/2012
  KML
10/12/2012
ESRI
10/12/2012
   
locations with free District wireless hot spots.
Wooded areas OCTO via DC GIS       KML
04/29/2011
ESRI
04/29/2011
   
Wooded Areas
Zip Codes USPS via DC GIS       KML
05/06/2009
ESRI
05/06/2009
   
5 digit Zip Code Boundaries
Zoning OZ via DC GIS       KML
10/12/2012
ESRI
10/12/2012
   
Zoning boundaries.
DOH Food Safety Inspections DOH              
Provides the results of food safety inspections in the District of Columbia.

The Open Data Handbook

Source: http://opendatahandbook.org/en/

 
This handbook discusses the legal, social and technical aspects of open data. It can be used by anyone but is especially designed for those seeking to open up data. It discusses the why, what and how of open data – why to go open, what open is, and the how to ‘open’ data.
 
To get started, you may wish to look at the Introduction. You can navigate through the report using the Table of Contents (see sidebar or below).
 
We warmly welcome comments on the text and will incorporate feedback as we go forward. We also welcome contributions or suggestions for additional sections and areas to examine.

Introduction

Source: http://opendatahandbook.org/en/intro...ion/index.html

Do you know exactly how much of your tax money is spent on street lights or on cancer research? What is the shortest, safest and most scenic bicycle route from your home to your work? And what is in the air that you breathe along the way? Where in your region will you find the best job opportunities and the highest number of fruit trees per capita? When can you influence decisions about topics you deeply care about, and whom should you talk to?

New technologies now make it possible to build the services to answer these questions automatically. Much of the data you would need to answer these questions is generated by public bodies. However, often the data required is not yet available in a form which is easy to use. This book is about how to unlock the potential of official and other information to enable new services, to improve the lives of citizens and to make government and society work better.

The notion of open data and specifically open government data - information, public or otherwise, which anyone is free to access and re-use for any purpose - has been around for some years. In 2009 open data started to become visible in the mainstream, with various governments (such as the USA, UK, Canada and New Zealand) announcing new initiatives towards opening up their public information.

This book explains the basic concepts of ‘open data’, especially in relation to government. It covers how open data creates value and can have a positive impact in many different areas. In addition to exploring the background, the handbook also provides concrete information on how to produce open data.

Target Audience

This handbook has a broad audience:

  • for those who have never heard of open data before and those who consider themselves seasoned ‘data professionals’
  • for civil servants and for activists
  • for journalists and researchers
  • for politicians and developers
  • for data geeks and those who have never heard of an API.

Most of the information currently provided is focused on data held by the public sector. However, the authors intentions are to broaden this as time permits. You are welcome to participate to help us with that effort.

This handbook is intended for those with little or no knowledge of the topic. If you do find a piece of jargon or terminology with which you aren’t familiar, please see the detailed Glossary and FAQs (frequently asked questions) which can be found at the end of the handbook.

Credits

Source: http://opendatahandbook.org/en/intro...n/credits.html

Credits and Copyright

Existing sources directly used
  • Technical Proposal for how IATI is implemented. The IATI Technical Advisory Group led by Simon Parrish
  • Unlocking the Potential of Aid InformationRufus Pollock, Jonathan Gray, Simon Parrish, Jordan Hatcher
  • Finnish manual authored by Antti Poikola
  • Beyond Access Report. Access Info and the Open Knowledge Foundation
Other sources

Why Open Data?

Source: http://opendatahandbook.org/en/why-o...ata/index.html

Open data, especially open government data, is a tremendous resource that is as yet largely untapped. Many individuals and organisations collect a broad range of different types of data in order to perform their tasks. Government is particularly significant in this respect, both because of the quantity and centrality of the data it collects, but also because most of that government data is public data by law, and therefore could be made open and made available for others to use. Why is that of interest?

There are many areas where we can expect open data to be of value, and where examples of how it has been used already exist. There are also many different groups of people and organisations who can benefit from the availability of open data, including government itself. At the same time it is impossible to predict precisely how and where value will be created in the future. The nature of innovation is that developments often comes from unlikely places.

It is already possible to point to a large number of areas where open government data is creating value. Some of these areas include:

  • Transparency and democratic control
  • Participation
  • Self-empowerment
  • Improved or new private products and services
  • Innovation
  • Improved efficiency of government services
  • Improved effectiveness of government services
  • Impact measurement of policies
  • New knowledge from combined data sources and patterns in large data volumes

Examples exist for most of these areas.

In terms of transparency, projects such as the Finnish ‘tax tree’ and British ‘where does my money go’ show how your tax money is being spent by the government. And there’s the example of how open data saved Canada $3.2 billion in charity tax fraud. Also various websites such as the Danish folketsting.dk track activity in parliament and the law making processes, so you can see what exactly is happening, and which parliamentarians are involved.

Open government data can also help you to make better decisions in your own life, or enable you to be more active in society. A woman in Denmark built findtoilet.dk, which showed all the Danish public toilets, so that people she knew with bladder problems can now trust themselves to go out more again. In the Netherlands a service, vervuilingsalarm.nl, is available which warns you with a message if the air-quality in your vicinity is going to reach a self-defined threshold tomorrow. In New York you can easily find out where you can walk your dog, as well as find other people who use the same parks. Services like ‘mapumental’ in the UK and ‘mapnificent’ in Germany allow you to find places to live, taking into account the duration of your commute to work, housing prices, and how beautiful an area is. All these examples use open government data.

Economically, open data is of great importance as well. Several studies have estimated the economic value of open data at several tens of billions of Euros annually in the EU alone. New products and companies are re-using open data. The Danish husetsweb.dk helps you to find ways of improving the energy efficiency of your home, including financial planning and finding builders who can do the work. It is based on re-using cadastral information and information about government subsidies, as well as the local trade register. Google Translate uses the enormous volume of EU documents that appear in all European languages to train the translation algorithms, thus improving its quality of service.

Open data is also of value for government itself. For example, it can increase government efficiency. The Dutch Ministry of Education has published all of their education-related data online for re-use. Since then, the number of questions they receive has dropped, reducing work-load and costs, and the remaining questions are now also easier for civil servants to answer, because it is clear where the relevant data can be found. Open data is also making government more effective, which ultimately also reduces costs. The Dutch department for cultural heritage is actively releasing their data and collaborating with amateur historical societies and groups such as the Wikimedia Foundation in order to execute their own tasks more effectively. This not only results in improvements to the quality of their data, but will also ultimately make the department smaller.

While there are numerous instances of the ways in which open data is already creating both social and economic value, we don’t yet know what new things will become possible. New combinations of data can create new knowledge and insights, which can lead to whole new fields of application. We have seen this in the past, for example when Dr. Snow discovered the relationship between drinking water pollution and cholera in London in the 19th century, by combining data about cholera deaths with the location of water wells. This led to the building of London’s sewage systems, and hugely improved the general health of the population. We are likely to see such developments happening again as unexpected insights flow from the combination of different open data sets.

This untapped potential can be unleashed if we turn public government data into open data. This will only happen, however, if it is really open, i.e. if there are no restrictions (legal, financial or technological) to its re-use by others. Every restriction will exclude people from re-using the public data, and make it harder to find valuable ways of doing that. For the potential to be realized, public data needs to be open data.

What is Open Data?

Source: http://opendatahandbook.org/en/what-...ata/index.html

This handbook is about open data but what exactly is it? In particular what makes open data open, and what sorts of data are we talking about?

What is Open?

This handbook is about open data - but what exactly is open data? For our purposes, open data is as defined by the Open Definition:

Open data is data that can be freely used, reused and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike.

The full Open Definition gives precise details as to what this means. To summarize the most important:

  • Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
  • Reuse and Redistribution: the data must be provided under terms that permit reuse and redistribution including the intermixing with other datasets.
  • Universal Participation: everyone must be able to use, reuse and redistribute - there should be no discrimination against fields of endeavour or against persons or groups. For example, ‘non-commercial’ restrictions that would prevent ‘commercial’ use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.

If you’re wondering why it is so important to be clear about what open means and why this definition is used, there’s a simple answer: interoperability.

Interoperability denotes the ability of diverse systems and organizations to work together (inter-operate). In this case, it is the ability to interoperate - or intermix - different datasets.

Interoperability is important because it allows for different components to work together. This ability to componentize and to ‘plug together’ components is essential to building large, complex systems. Without interoperability this becomes near impossible — as evidenced in the most famous myth of the Tower of Babel where the (in)ability to communicate (to interoperate) resulted in the complete breakdown of the tower-building effort.

We face a similar situation with regard to data. The core of a “commons” of data (or code) is that one piece of “open” material contained therein can be freely intermixed with other “open” material. This interoperability is absolutely key to realizing the main practical benefits of “openness”: the dramatically enhanced ability to combine different datasets together and thereby to develop more and better products and services (these benefits are discussed in more detail in the section on ‘why’ open data).

Providing a clear definition of openness ensures that when you get two open datasets from two different sources, you will be able to combine them together, and it ensures that we avoid our own ‘tower of babel’: lots of datasets but little or no ability to combine them together into the larger systems where the real value lies.

What Data are You Talking About?

Readers have already seen examples of the sorts of data that are or may become open - and they will see more examples below. However, it will be useful to quickly outline what sorts of data are, or could be, open – and, equally importantly, what won’t be open.

The key point is that when opening up data, the focus is on non-personal data, that is, data which does not contain information about specific individuals.

Similarly, for some kinds of government data, national security restrictions may apply.

How to Open up Data

Source: http://opendatahandbook.org/en/how-t...ata/index.html

This section forms the core of this handbook. It gives concrete, detailed advice on how data holders can open up data. We’ll go through the basics, but also cover the pitfalls. Lastly, we will discuss the more subtle issues that can arise.

There are three key rules we recommend following when opening up data:

  • Keep it simple. Start out small, simple and fast. There is no requirement that every dataset must be made open right now. Starting out by opening up just one dataset, or even one part of a large dataset, is fine – of course, the more datasets you can open up the better.

    Remember this is about innovation. Moving as rapidly as possible is good because it means you can build momentum and learn from experience – innovation is as much about failure as success and not every dataset will be useful.

  • Engage early and engage often. Engage with actual and potential users and reusers of the data as early and as often as you can, be they citizens, businesses or developers. This will ensure that the next iteration of your service is as relevant as it can be.

    It is essential to bear in mind that much of the data will not reach ultimate users directly, but rather via ‘info-mediaries’. These are the people who take the data and transform or remix it to be presented. For example, most of us don’t want or need a large database of GPS coordinates, we would much prefer a map. Thus, engage with infomediaries first. They will reuse and repurpose the material.

  • Address common fears and misunderstandings. This is especially important if you are working with or within large institutions such as government. When opening up data you will encounter plenty of questions and fears. It is important to (a) identify the most important ones and (b) address them at as early a stage as possible.

There are four main steps in making data open, each of which will be covered in detail below. These are in very approximate order - many of the steps can be done simultaneously.

  1. Choose your dataset(s). Choose the dataset(s) you plan to make open. Keep in mind that you can (and may need to) return to this step if you encounter problems at a later stage.

  2. Apply an open license.

    1. Determine what intellectual property rights exist in the data.
    2. Apply a suitable ‘open’ license that licenses all of these rights and supports the definition of openness discussed in the section above on ‘What Open Data’
    3. NB: if you can’t do this go back to step 1 and try a different dataset.
  3. Make the data available - in bulk and in a useful format. You may also wish to consider alternative ways of making it available such as via an API.

  4. Make it discoverable - post on the web and perhaps organize a central catalogue to list your open datasets.

  • Choose Dataset(s)
  • Apply an Open License (Legal Openness)
  • Make Data Available (Technical Openness)
  • Make data discoverable

Choose Dataset(s)

Source: http://opendatahandbook.org/en/how-t...-datasets.html

Choosing the dataset(s) you plan to make open is the first step – though remember that the whole process of opening up data is iterative and you can return to this step if you encounter problems later on.

If you already know exactly what dataset(s) you plan to open up you can move straight on to the next section. However, in many cases, especially for large institutions, choosing which datasets to focus on is a challenge. How should one proceed in this case?

Creating this list should be a quick process that identifies which datasets could be made open to start with. There will be time at later stages to check in detail whether each dataset is suitable.

There is no requirement to create a comprehensive list of your datasets. The main point to bear in mind is whether it is feasible to publish this data at all (whether openly or otherwise) - see the ‘What Data’ section above.

Asking the community

We recommend that you ask the community in the first instance. That is the people who will be accessing and using the data, as they are likely to have a good understanding of which data could be valuable.

  1. Prepare a short list of potential datasets that you would like feedback on. It is not essential that this list concurs with your expectations, the main intention is to get a feel for the demand. This could be based on other countries’ open data catalogues.
  2. Create a request for comment.
  3. Publicise your request with a webpage. Make sure that it is possible to access the request through its own URL. That way, when shared via social media, the request can be easily found.
  4. Provide easy ways to submit responses. Avoid requiring registration, as it reduces the number of responses.
  5. Circulate the request to relevant mailing lists, forums and individuals, pointing back to the main webpage.
  6. Run a consultation event. Make sure you run it at a convenient time where the average business person, data wrangler and official can attend.
  7. Ask a politician to speak on your agency’s behalf. Open data is very likely to be part of a wider policy of increasing access to government information.

Cost basis

How much money do agencies spend on the collection and maintainence of data that they hold? If they spend a great deal on a particular set of data, then it is highly likely that others would like to access it.

This argument may be fairly susceptible to concerns of freeriding. The question you will need to respond to is, “Why should other people get information for free that is so expensive?”. The answer is that the expense is absorbed by the public sector to perform a particular function. The cost of sending that data, once it has been collected, to a third party is approximately nothing. Therefore, they should be charged nothing.

Ease of release

Sometimes, rather than deciding which data would be most valuable, it could be useful to take a look at which data is easiest to get into the public’s hands. Small, easy releases can act as the catalyst for larger behavioural change within organisations.

Be careful with this approach however. It may be the case that these small releases are of so little value that nothing is built from them. If this occurs, faith in the entire project could be undermined.

Observe peers

Open data is a growing movement. There are likely to be many people in your area who understand what other areas are doing. Formulate a list on the basis of what those agencies are doing.

Apply an Open License (Legal Openness)

Source: http://opendatahandbook.org/en/how-t...n-license.html

In most jurisdictions there are intellectual property rights in data that prevent third-parties from using, reusing and redistributing data without explicit permission. Even in places where the existence of rights is uncertain, it is important to apply a license simply for the sake of clarity. Thus, if you are planning to make your data available you should put a license on it – and if you want your data to be open this is even more important.

What licenses can you use? We recommend that for ‘open’ data you use one of the licenses conformant with the Open Definition and marked as suitable for data. This list (along with instructions for usage) can be found at:

A short 1-page instruction guide to applying an open data license can be found on the Open Data Commons site:

Make Data Available (Technical Openness)

Source: http://opendatahandbook.org/en/how-t...available.html

Open data needs to be technically open as well as legally open. Specifically, the data needs to be available in bulk in a machine-readable format.

Available

Data should be priced at no more than a reasonable cost of reproduction, preferably as a free download from the Internet. This pricing model is achieved because your agency should not undertake any cost when it provides data for use.

In bulk

The data should be available as a complete set. If you have a register which is collected under statute, the entire register should be available for download. A web API or similar service may also be very useful, but they are not a substitutes for bulk access.

In an open, machine-readable format

Data should be priced at no more than a reasonable cost of reproduction, preferably as a free download from the Internet. This pricing model is achieved because your agency should not undertake any cost when it provides data for use.
The data should be available as a complete set. If you have a register which is collected under statute, the entire register should be available for download. A web API or similar service may also be very useful, but they are not a substitutes for bulk access.
Re-use of data held by the public sector should not be subject to patent restrictions. More importantly, making sure that you are providing machine-readable formats allows for greatest re-use. To illustrate this, consider statistics published asPDF documents, often used for high quality printing. While these statistics can be read by humans, they are very hard for a computer to use. This greatly limits the ability for others to reuse that data.

Here are a few policies that will be of great benefit:

  • Keep it simple,
  • Move fast
  • Be pragmatic.

In particular it is better to give out raw data now than perfect data in six months’ time.

There are many different ways to make data available to others. The most natural in the Internet age is online publication. There are many variations to this model. At its most basic, agencies make their data available via their websites and a central catalogue directs visitors to the appropriate source. However, there are alternatives.

When connectivity is limited or the size of the data extremely large, distribution via other formats can be warranted. This section will also discuss alternatives, which can act to keep prices very low.

Online methods

Via your existing website

The system which will be most familiar to your web content team is to provide files for download from webpages. Just as you currently provide access to discussion documents, data files are perfectly happy to be made available this way.

One difficulty with this approach is that it is very difficult for an outsider to discover where to find updated information. This option places some burden on the people creating tools with your data.

Via 3rd party sites

Many repositories have become hubs of data in particular fields. For example, pachube.com is designed to connect people with sensors to those who wish to access data from them. Sites like Infochimps.com and Talis.com allow public sector agencies to store massive quantities of data for free.

Third party sites can be very useful. The main reason for this is that they have already pooled together a community of interested people and other sets of data. When your data is part of these platforms, a type of positive compound interest is created.

Wholesale data platforms already provide the infrastructure which can support the demand. They often provide analytics and usage information. For public sector agencies, they are generally free.

These platforms can have two costs. The first is independence. Your agency needs to be able to yield control to others. This is often politically, legally or operationally difficult. The second cost may be openness. Ensure that your data platform is agnostic about who can access it. Software developers and scientists use many operating sytems, from smart phones to supercomputers. They should all be able to access the data.

Via FTP servers

A less fashionable method for providing access to files is via the File Transfer Protocol (FTP). This may be suitable if your audience is technical, such as software developers and scientists. The FTP system works in place of HTTP, but is specifically designed to support file transfers.

FTP has fallen out of favour. Rather than providing a website, looking through an FTP server is much like looking through folders on a computer. Therefore, even though it is fit for purpose, there is far less capacity for web development firms to charge for customisation.

As torrents

BitTorrent is a system which has become familiar to policy makers because of its association with copyright infringement. BitTorrent uses files called torrents, which work by splitting the cost of distributing files between all of the people accessing those files. Instead of servers becoming overloaded, the supply increases with the demand increases. This is the reason that this system is so successful for sharing movies. It is a wonderfully efficient way to distribute very large volumes of data.

As an API

Data can be published via an Application Programming Interface (API). These interfaces have become very popular. They allow programmers to select specific portions of the data, rather than providing all of the data in bulk as a large file. APIs are typically connected to a database which is being updated in real-time. This means that making information available via an API can ensure that it is up to date.

Publishing raw data in bulk should be the primary concern of all open data intiatives. There are a number of costs to providing an API:

  1. The price. They require much more development and maintainence than providing files.
  2. The expectations. In order to foster a community of users behind the system, it is important to provide certainty. When things go wrong, you will be expected to incur the costs of fixing them.

Access to bulk data ensures that:

  1. there is no dependency on the original provider of the data, meaning that if a restructure or budget cycle changes the situation, the data are still available.
  2. anyone else can obtain a copy and redistribute it. This reduces the cost of distribution away from the source agency and means that there is no single point of failure.
  3. others can develop their own services using the data, because they have certainty that the data will not be taken away from them.

Providing data in bulk allows others to use the data beyond its original purposes. For example, it allows it to be converted into a new format, linked with other resources, or versioned and archived in multiple places. While the latest version of the data may be made available via an API, raw data should be made available in bulk at regular intervals.

For example, the Eurostat statistical service has a bulk download facility offering over 4000 data files. It is updated twice a day, offers data in Tab-separated values (TSV) format, and includes documentation about the download facility as well as about the data files.

Another example is the District of Columbia OCTO’s Data Catalogue, which allows data to be downloaded in CSV and XLS format in addition to live feeds of the data.

Make data discoverable

Source: http://opendatahandbook.org/en/how-t...coverable.html

Open data is nothing without users. You need to be able to make sure that people can find the source material. This section will cover different approaches.

The most important thing is to provide a neutral space which can overcome both inter-agency politics and future budget cycles. Jurisdictional borders, whether sectorial or geographical, can make cooperation difficult. However, there are significant benefits in joining forces. The easier it is for outsiders to discover data, the faster new and useful tools will be built.

Existing tools

There are a number of tools which are live on the web that are specifically designed to make data more discoverable.

One of the most prominent is the DataHub and is a catalogue and data store for datasets from around the world. The site makes it easy for individuals and organizations to publish material and for data users to find material they need.

In addition, there are dozens of specialist catalogues for different sectors and places. Many scientific communities have created a catalogue system for their fields, as data are often required for publication.

For government

As it has emerged, orthodox practice is for a lead agency to create a catalog for the government’s data. When establishing a catalog, try to create some structure which allows many departments to easily keep their own information current.

Resist the urge to build the software to support the catalogue from scratch. There are free and open source software solutions (such as CKAN) which have been adopted by many governments already. As such, investing in another platform may not be needed.

There are a few things that most open data catalogues miss. Your programme could consider the following:

  • Providing an avenue to allow the private and community sectors to add their data. It may be worthwhile to think of the catalogue as the region’s catalogue, rather than the regional government’s.
  • Facilitating improvement of the data by allowing derivatives of datasets to be catalogued. For example, someone may geocode addresses and may wish to share those results with everybody. If you only allow single versions of datasets, these improvements remain hidden.
  • Be tolerant of your data appearing elsewhere. That is, content is likely to be duplicated to communities of interest. If you have river level monitoring data available, then your data may appear in a catalogue for hydrologists.
  • Ensure that access is equitable. Try to avoid creating a privileged level of access for officials or tenured researchers as this will undermine community participation and engagement.
For civil society

Be willing to create a supplementary catalogue for non-official data.

It is very rare for governments to associate with unofficial or non-authoritative sources. Officials have often gone to great expense to ensure that there will not be political embarrassment or other harm caused from misuse or overreliance on data.

Moreover, governments are unlikely to be willing to support activities that mesh their information with information from businesses. Governments are rightfully skeptical of profit motives. Therefore, an independent catalogue for community groups, businesses and others may be warranted.

So I’ve Opened Up Some Data, Now What?

Source: http://opendatahandbook.org/en/follo...-up/index.html

We’ve looked at how to make government information legally and technically reusable. The next step is to encourage others to make use of that data.

This section looks at additional things which can be done to promote data re-use.

  • Tell the world!
  • Getting folks in a room: Unconferences, Meetups and Barcamps
  • Making things! Hackdays, prizes and prototypes

Tell the world!

Source: http://opendatahandbook.org/en/follo...the-world.html

First and foremost, make sure that you promote the fact that you’ve embarked on a campaign to promote open data in your area of responsibility.

If you open up a bunch of datasets, it’s definitely worth spending a bit of time to make sure that people know (or at least can find out) that you’ve done so.

In addition to things like press releases, announcements on your website, and so on, you may consider:

  • Contacting prominent organisations or individuals who work/are interested in this area
  • Contacting relevant mailing lists or social networking groups
  • Directly contacting prospective users who you know may be interested in this data

Understanding your audience

Like all public communication, engaging with the data community needs to be targeted. Like all stakeholder groups, the right message can be wasted if it is directed to the wrong area.

Digital communities tend to be very willing to share new information, yet they very rapidly consume it. Write as if your messages will be skimmed over, rather than critically examined in-depth.

Members of the tech community are less likely than the general public to use MS Windows. This means that you should not save documents in MS Office formats which can be read offline. There are two resons for this:

  • The first is that those documents will be less accessible. Rather than the document you see on your screen, readers may see an imperfect copy from an alternative.
  • Secondly, your agency sends an implicit message that you are unwilling to take a step towards developers. Instead, you show that you are expecting the technology community to come to you.

Post your material on third-party sites

Many blogs have created a large readership in specialised topic areas. It may be worthwhile adding an article about your initiative on their site. These can be mutually beneficial. You receive more interest and they receive a free blog post in their topic area.

Making your communications more social-media friendly

It’s unrealistic to expect that officials should spend long periods of time engaging with social media. However, there are several things that you can do to make sure that your content can be easily shared between technical users. Some tips:

Provide unique pages for each piece of content:
  When a message is shared with others, the recipient of the referral will be looking for the relevant content quickly.
Avoid making people download your press releases:
  Press releases are fine. They are concise messages about a particular point. However, if you require people to download the content and for it to open outside of a web browser, then fewer people will read it. Search engines are less likely to index the content. People are less likely to click to download.
Consider using an Open license for your content:
  Apart from providing certainty to people who wish to share your content that this is permissible, you send a message that your agency understands openness. This is bound to leave an impression far more significant to proponents of open data than any specific sentence in your press release.

Social media

It’s inefficient for cash-strapped agencies to spend hours on social media sites. The most significant way that your voice can be heard through these fora is by making sure that blog posts are easily shareable. That means, before reading the next section, make sure that you have read the last. With that in mind, here are a few suggestions:

Discussion fora:
 

Twitter has emerged as the platform of choice for disseminating information rapidly. Anything tagged with #opendata will be immediately seen by thousands.

LinkedIn has a large selection of groups which are targeted towards open data.

While Facebook is excellent for a general audience, it has not received a great deal of attention in the open data community.

Link aggregators:
 

Submit your content to the equivalent of newswires for geeks. Reddit and Hacker News are the two biggest in this arena at the moment. To a lesser extent, Slashdot and Digg are also useful tools in this area.

These sites have a tendency to drive significant traffic to interesting material. They are also heavily focused on topic areas.

Getting folks in a room: Unconferences, Meetups and Barcamps

Source: http://opendatahandbook.org/en/follo...in-a-room.html

Face-to-face events can be a very effective way to encourage others to use your data. Reasons that you may consider putting on an event include:

  • Finding out more about prospective reusers
  • Finding out more about demand for different datasets
  • Finding out more about how people want to reuse your data
  • Enabling prospective reusers to find out more about what data you have
  • Enabling prospective users to meet each other (e.g. so they can collaborate)
  • Exposing your data to a wider audience (e.g. from blog posts or media coverage that the event may help to generate)

There are also lots of different ways of running events, and different types of events, depending on what aim you want to achieve. As well as more traditional conference models, which will include things like preprepared formal talks, presentations and demonstrations, there are also various kinds of participant driven events, where those who turn up may:

  • Guide or define the agenda for the event
  • Introduce themselves, talk about what they’re interested in and what they’re working on, on an ad hoc basis
  • Give impromptu micro-short presentations on something they are working on
  • Lead sessions on something they are interested in

There is plenty of documentation online about how to run these kinds of events, which you can find by searching for things like: ‘unconference’, ‘barcamp’, ‘meetup’, ‘speedgeek’, ‘lightning talk’, and so on. You may also find it worthwhile to contact people who have run these kinds of events in other countries, who will most likely be keen to help you out and to advise you on your event. It may be valuable to partner with another organisation (e.g. a civic society organisation, a news organisation or an educational institution) to broaden your base participants and to increase your exposure.

Making things! Hackdays, prizes and prototypes

Source: http://opendatahandbook.org/en/follo...camps-hackdays

Examples for Competitions

Show us a better way was the first such competition in the world. It was initiated by the UK Government’s “The Power of Information Taskforce” headed by Cabinet Office Minister Tom Watson in March 2008. This competition asked “What would you create with public information?” and was open to programmers from around the world, with a tempting £80,000 prize for the five best applications.

Apps for Democracy, one of the first competitions in the United States, was launched in October 2008 by Vivek Kundra, at the time Chief Technology Officer (CTO) of the District of Columbia (DC) Government. Kundra had developed the groundbreaking DC data catalogue, http://data.octo.dc.gov/, which included datasets such as real-time crime feeds, school test scores, and poverty indicators. It was at the time the most comprehensive local data catalogue in the world. The challenge was to make it useful for citizens, visitors, businesses and government agencies of Washington, DC.

The creative solution was to create the Apps for Democracy contest. The strategy was to ask people to build applications using the data from the freshly launched data catalogue. It included an online submission for applications, many small prizes rather than a few large ones, and several different categories as well as a “People’s Choice” prize. The competition was open for 30 days and cost the DC government $50,000. In return, a total of 47 iPhone, Facebook and web applications were developed with an estimated value in excess of $2,600,000 for the local economy.

The Abre Datos (Open Data) Challenge 2010. Held in Spain in April 2010, this contest invited developers to create open source applications making use of public data in just 48 hours. The competition had 29 teams of participants who developed applications that included a mobile phone programme for accessing traffic information in the Basque Country, and for accessing data on buses and bus stops in Madrid, which won the first and second prizes of €3,000 and €2,000 respectively.

Nettskap 2.0. In April 2010 the Norwegian Ministry for Government Administration held “Nettskap 2.0”. Norwegian developers – companies, public agencies or individuals – were challenged to come up with web-based project ideas in the areas of service development, efficient work processes, and increased democratic participation. The use of government data was explicitly encouraged. Though the application deadline was just a month later, on May 9, the Minister Rigmor Aasrud said the response was “overwhelming”. In total 137 applications were received, no less than 90 of which built on the reuse of government data. A total amount of NOK 2.5 million was distributed among the 17 winners; while the total amount applied for by the 137 applications was NOK 28.4 million.

Mashup Australia. The Australian Government 2.0 Taskforce invited citizens to show why open access to Australian government information would be positive for the country’s economy and social development. The contest ran from October 7th to November 13th 2009. The Taskforce released some datasets under an open licence and in a range of reusable formats. The 82 applications that were entered into the contest are further evidence of the new and innovative applications which can result from releasing government data on open terms.

Conferences, Barcamps, Hackdays

One of the more effective ways for Civil Society Organisations (CSOs) to demonstrate to governments the value of opening up their datasets is to show the multiple ways in which the information can be managed to achieve social and economic benefit. CSOs that promote reuse have been instrumental in countries where there have been advances in policy and law to ensure that datasets are both technically and legally open.

The typical activities which are undertaken as part of these initiatives normally include competitions, open government data conferences, “unconferences”, workshops and “hack days”. These activities are often organised by the user community with data that has already been published proactively or obtained using access to information requests. In other cases, civil society advocates have worked with progressive public officials to secure new release of datasets that can be used by programmers to create innovative applications.

Glossary

Source: http://opendatahandbook.org/en/glossary.html

Anonymisation

The process of adapting data so that individuals cannot be identified from it.

Anonymization

See Anonymisation.

API

See Application Programming Interface.

Application Programming Interface

A way computer programs talk to one another. Can be understood in terms of how a programmer sends instructions between programs.

AR

See Information Asset Register.

Attribution Licence

A licence that requires that the original source of the licensed material is cited (attributed).

Attribution License

See Attribution Licence.

BitTorrent

BitTorrent is a protocol for distributing the bandwith for transferring very large files between the computers which are participating in the transfer. Rather than downloading a file from a specific source, BitTorrent allows peers to download from each other.

Connectivity

Connectivity relates to the ability for communities to connect to the Internet, especially the World Wide Web.

A right for the creators of creative works to restrict others’ use of those works. An owner of copyright is entitled to determine how others may use that work.

DAP

See Data Access Protocol.

Data Access Protocol

A system that allows outsiders to be granted access to databases without overloading either system.

Data protection legislation

Data protection legislation is not about protecting the data, but about protecting the right of citizens to live without fear that information about their private lives might become public. The law protects privacy (such as information about a person’s economic status, health and political position) and other rights such as the right to freedom of movement and assembly. For example, in Finland a travel card system was used to record all instances when the card was shown to the reader machine on different public transport lines. This raised a debate from the perspective of freedom of movement and the travel card data collection was abandoned based on the data protection legislation.

Database rights

A right to prevent others from extracting and reusing content from a database. Exists mainly in European jurisdictions.

EU

European Union.

EU PSI Directive

The Directive on the re-use of public sector information, 2003/98/EC. “deals with the way public sector bodies should enhance re-use of their information resources.” Legislative Actions - PSI Directive

IAR

See Information Asset Register.

Information Asset Register

IARs are registers specifically set up to capture and organise meta-data about the vast quantities of information held by government departments and agencies. A comprehensive IAR includes databases, old sets of files, recent electronic files, collections of statistics, research and so forth.

The EU PSI Directive recognises the importance of asset registers for prospective re-users of public information. It requires member states to provide lists, portals, or something similar. It states:

Tools that help potential re-users to find documents available
for re-use and the conditions for re-use can facilitate
considerably the cross-border use of public sector documents.
Member States should therefore ensure that practical arrangements
are in place that help re-users in their search for documents
available for reuse. Assets lists, accessible preferably online,
of main documents (documents that are extensively re-used or
that have the potential to be extensively re-used), and portal
sites that are linked to decentralised assets lists are examples
of such practical arrangements.

IARs can be developed in different ways. Government departments can develop their own IARs and these can be linked to national IARs. IARs can include information which is held by public bodies but which has not yet been – and maybe will not be – proactively published. Hence they allow members of the public to identify information which exists and which can be requested.

For the public to make use of these IARs, it is important that any registers of information held should be as complete as possible in order to be able to have confidence that documents can be found. The incompleteness of some registers is a significant problem as it creates a degree of unreliability which may discourage some from using the registers to search for information.

It is essential that the metadata in the IARs should be comprehensive so that search engines can function effectively. In the spirit of open government data, public bodies should make their IARs available to the general public as raw data under an open licence so that civic hackers can make use of the data, for example by building search engines and user interfaces.

Intellectual property rights

Monopolies granted to individuals for intellectual creations.

IP rights

See Intellectual property rights.

Machine-readable

Formats that are machine readable are ones which are able to have their data extracted by computer programs easily. PDF documents are not machine readable. Computers can display the text nicely, but have great difficulty understanding the context that surrounds the text.

Open Data

Open data are able to be used for any purpose. More details can be read at http://pendefinition.org.

Open Government Data

Open data produced by the government. This is generally accepted to be data gathered during the course of business as usual activities which do not identify individuals or breach commercial sensitivity. Open government data is a subset of Public Sector Information, which is broader in scope. See http://opengovernmentdata.org for details.

Open standards

Generally understood as technical standards which are free from licencing restrictions. Can also be interpreted to mean standards which are developed in a vendor-neutral manner.

PSI

See Public Sector Information.

Public domain

No copyright exists over the work. Does not exist in all jurisdictions.

Public Sector Information

Information collected or controlled by the public sector.

Re-use

Use of content outside of its original intention.

Share-alike Licence

A licence that requires users of a work to provide the content under the same or similar conditions as the original.

Share-alike License

See Share-alike Licence.

Tab-seperated values

Tab-seperated values (TSV) are a very common form of text file format for sharing tabular data. The format is extremely simple and highly machine-readable.

Web API

An API that is designed to work over the Internet.

Appendices

Source: http://opendatahandbook.org/en/appendices/index.html

File Formats

Source: http://opendatahandbook.org/en/appen...e-formats.html

An Overview of File Formats

JSON

JSON is a simple file format that is very easy for any programming language to read. Its simplicity means that it is generally easier for computers to process than others, such as XML.

XML

XML is a widely used format for data exchange because it gives good opportunities to keep the structure in the data and the way files are built on, and allows developers to write parts of the documentation in with the data without interfering with the reading of them.

RDF

A W3C-recommended format called RDF makes it possible to represent data in a form that makes it easier to combine data from multiple sources. RDF data can be stored in XML and JSON, among other serializations. RDF encourages the use of URLs as identifiers, which provides a convenient way to directly interconnect existing open data initiatives on the Web. RDF is still not widespread, but it has been a trend among Open Government initiatives, including the British and Spanish Government Linked Open Data projects. The inventor of the Web, Tim Berners-Lee, has recently proposed a five-starscheme that includes linked RDF data as a goal to be sought for open data initiatives.

Spreadsheets

Many authorities have information left in the spreadsheet, for example Microsoft Excel. This data can often be used immediately with the correct descriptions of what the different columns mean.

However, in some cases there can be macros and formulas in spreadsheets, which may be somewhat more cumbersome to handle. It is therefore advisable to document such calculations next to the spreadsheet, since it is generally more accessible for users to read.

Comma Separated Files

CSV files can be a very useful format because it is compact and thus suitable to transfer large sets of data with the same structure. However, the format is so spartan that data are often useless without documentation since it can be almost impossible to guess the significance of the different columns. It is therefore particularly important for the comma-separated formats that documentation of the individual fields are accurate.

Furthermore it is essential that the structure of the file is respected, as a single omission of a field may disturb the reading of all remaining data in the file without any real opportunity to rectify it, because it cannot be determined how the remaining data should be interpreted.

Text Document

Classic documents in formats like Word, ODF, OOXML, or PDF may be sufficient to show certain kinds of data - for example, relatively stable mailing lists or equivalent. It may be cheap to exhibit in, as often it is the format the data is born in. The format gives no support to keep the structure consistent, which often means that it is difficult to enter data by automated means. Be sure to use templates as the basis of documents that will display data for reuse, so it is at least possible to pull information out of documents.

It can also support the further use of data to use typography markup as much as possible so that it becomes easier for a machine to distinguish headings (any type specified) from the content and so on. Generally it is recommended not to exhibit in word processing format, if data exists in a different format.

Plain Text

Plain text documents (.txt) are very easy for computers to read. They generally exclude structural metadata from inside the document however, meaning that developers will need to create a parser that can interpret each document as it appears.

Some problems can be caused by switching plain text files between operating systems. MS Windows, Mac OS X and other Unix variants have their own way of telling the computer that they have reached the end of the line.

Scanned image

Probably the least suitable form for most data, but both TIFF and JPEG-2000 can at least mark them with documentation of what is in the picture - right up to mark up an image of a document with full text content of the document. It may be relevant to their displaying data as images whose data are not born electronically - an obvious example is the old church records and other archival material - and a picture is better than nothing.

Proprietary formats

Some dedicated systems, etc. have their own data formats that they can save or export data in. It can sometimes be enough to expose data in such a format - especially if it is expected that further use would be in a similar system as that which they come from. Where further information on these proprietary formats can be found should always be indicated, for example by providing a link to the supplier’s website. Generally it is recommended to display data in non-proprietary formats where feasible.

HTML

Nowadays much data is available in HTML format on various sites. This may well be sufficient if the data is very stable and limited in scope. In some cases, it could be preferable to have data in a form easier to download and manipulate, but as it is cheap and easy to refer to a page on a website, it might be a good starting point in the display of data.

Typically, it would be most appropriate to use tables in HTML documents to hold data, and then it is important that the various data fields are displayed and are given IDs which make it easy to find and manipulate data. Yahoo has developed a tool (http://developer.yahoo.com/yql/) that can extract structured information from a website, and such tools can do much more with the data if it is carefully tagged.

Open File Formats

Even if information is provided in electronic, machine-readable format, and in detail, there may be issues relating to the format of the file itself.

The formats in which information is published – in other words, the digital base in which the information is stored - can either be “open” or “closed”. An open format is one where the specifications for the software are available to anyone, free of charge, so that anyone can use these specifications in their own software without any limitations on reuse imposed by intellectual property rights.

If a file format is “closed”, this may be either because the file format is proprietary and the specification is not publicly available, or because the file format is proprietary and even though the specification has been made public, reuse is limited. If information is released in a closed file format, this can cause significant obstacles to reusing the information encoded in it, forcing those who wish to use the information to buy the necessary software.

The benefit of open file formats is that they permit developers to produce multiple software packages and services using these formats. This then minimises the obstacles to reusing the information they contain.

Using proprietary file formats for which the specification is not publicly available can create dependence on third-party software or file format license holders. In worst-case scenarios, this can mean that information can only be read using certain software packages, which can be prohibitively expensive, or which may become obsolete.

The preference from the open government data perspective therefore is that information be released in open file formats which are machine-readable.

Example: UK traffic data

Andrew Nicolson is a software developer who was involved in an (ultimately successful) campaign against the construction of a new road, the Westbury Eastern bypass, in the UK. Andrew was interested in accessing and using the road traffic data that was being used to justify the proposals. He managed to obtain some of the relevant data via freedom of information requests, but the local government provided the data in a proprietary format which can only be read using software produced by a company called Saturn, who specialise in traffic modelling and forecasting. There is no provision for a “read only” version of the software, so Andrew’s group had no choice but to purchase a software license, eventually paying £500 (€600) when making use of an educational discount. The main software packages on the April 2010 price list from Saturn start at £13,000 (over €15,000), a price which is beyond the reach of most ordinary citizens.

Although no access to information law gives a right of access to information in open formats, open government data initiatives are starting to be accompanied by policy documents which stipulate that official information must be made available in open file formats. Setting the gold standard has been the Obama Administration, with the Open Government Directive issued in December 2009, which says:

To the extent practicable and subject to valid restrictions, agencies should publish information online in an open format that can be retrieved, downloaded, indexed, and searched by commonly used web search applications. An open format is one that is platform independent, machine readable, and made available to the public without restrictions that would impede the re-use of that information.

How do I use a given format?

When an authority must exhibit new data – data that has not been exhibited before – you should choose the format that provides the best balance between cost and suitability for purpose. For each format there are some things you should be aware of, and this section aims to explain them.

This section focuses only on how the cut surfaces are best arranged so that machines can access them directly. Advice and guidance about how web sites and web solutions should be designed can be found elsewhere.

Web services

For data that changes frequently, and where each pull is limited in size, it is very relevant to expose data through web services. There are several ways to create a web service, but some of the most used is SOAP and REST. Generally, SOAP over REST, REST services, but are very easy to develop and use, so it is a widely used standard.

Database

Like web services, databases provide direct access to data dynamically. Databases have the advantage that they can allow users to put together just the extraction that they are interested in.

There are some security concerns about allowing remote database extraction and database access is only useful if the structure of the database and the importance of individual tables and fields are well documented. Often, it is relatively simple and inexpensive to create web services that expose data from a database, which can be an easy way to address safety concerns.

What Legal (IP) Rights Are There in Data(bases)

Source: http://opendatahandbook.org/en/appen...databases.html

When talking about data(bases) we first need to distinguish between the structure and the content of a database (when we use the term ‘data’ we shall mean the content of the database itself). Structural elements include things like the field names and a model for the data – the organization of these fields and their inter-relation.

In many jurisdictions it is likely that the structural elements of a database will be covered by copyright (it depends somewhat on the level of ‘creativity’ involved in creating this structure).

However, here we are particularly interested in the data. When we talk of “data” we need to be a bit careful because the word isn’t particularly precise: “data” can mean a few items or even a single item (for example a single bibliographic record, a lat/long etc) or “data” can mean a large collection (e.g. all the material in the database). To avoid confusion we shall reserve the term “content” to mean the individual items, and data to denote the collection.

Unlike for material such as text, music or film, the legal situation for data varies widely across countries. However, most jurisdictions do grant some rights in the data (as a collection).

This distinction between the “content” of a database and the collection is especially crucial for factual databases since no jurisdiction grants a monopoly right over the individual facts (the “content”), even though it may grant right(s) in them as a collection. To illustrate, consider the simple example of a database which lists the melting point of various substances. While the database as a whole might be protected by law so that one is not allow to access, reuse or redistribute it without permission, this would never prevent you from stating the fact that substance Y melts at temperature Z.

Forms of protection fall broadly into two cases:

  • Copyright for compilations
  • sui generis right for collections of data

As we have already emphasized, there are no general rules and the situation varies by jurisdiction. Thus we proceed country by country detailing which (if any) of these approaches is used in a particular jurisdiction.

Finally, we should point out that in the absence of any legal protection, many providers of (closed) databases are able to use a simple contract combined with legal provisions prohibiting violation of access-control mechanisms to achieve results similar to a formal IP right. For example, if X is a provider of a citation database, it can achieve any set of terms of conditions it wants simply by:

  1. Requiring users to login with a password
  2. Only providing a user with an account and password on the condition that the user agrees to the terms and conditions

You can read more about the jurisdiction by jurisdiction situation in the Guide to Open Data Licensing.

Index

Source: http://opendatahandbook.org/en/genindex.html

MY NOTE: This links to the Glossary.

Search Page

Source: http://opendatahandbook.org/en/search.html

From here you can search these documents. Enter your search words into the box below and click "search". Note that the search function will automatically search for all of the words. Pages containing fewer words won't appear in the result list.

MY NOTE: You do not need this because the entire document is in one page here. Use Google Chrome Find instead.

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