1 Build Your Own Data.gov Mashup-of-Mashups Catalog Brand Niemann Senior Enterprise Architect U.S. EPA November 5, 2010

2 Tim Berners-Lee: The Five Stars of Linked Open Data 1. Make your stuff available on the web (whatever format); 2. Make it available as structured data (e.g. excel instead of image scan of a table); 3. Non-proprietary format (e.g. csv instead of excel); 4. Use URLs to identify things, so that people can point at your stuff; and 5. Link your data to other people’s data to provide context.

3 Jim Hendler: The Semantic Web Update The “Buzz” around data on the Web – especially open government data. Facebook’s Open Graph Protocol likely to become the most “used” ontology ever. Modeling is very expensive and the return on investment must be very high. Data.gov originated from 3rd parties doing the Semantic Web bottom up. The big one is still out there. –I think TBL’s Five Stars of Linked Open Data is it!

4 A Se-Mash Hit 40 Apps

5 Demos Facts About This Demo

6 Facts about this Demonstration Dataset

7 Dataset Data Source

8 Five Categories: All 2009 Total Urban Rural Principal City Extract Four Columns: Total Urban Internet Use Urban Broadband Internet Use Total Rural Internet Use Rural Broadband Internet Use

9 Live Demo Click on State and Click on Bar Graph

10 Spreadsheet

11 Energy Mashup Mashup Information (see next slide) Datasets

12 Mashup information This mashup was created at the first Data.gov mashathon event, August 24-25, It was further refined from October 6-8, 2010 by theNational Renewable Energy Laboratory. This mashup profiles 7 cities in different parts of the United States that have a population of roughly 600,000 according to the 2000 census data and 2006 census-estimated population.National Renewable Energy Laboratory Sources used: EIA's Electric Sales, Revenue and Average Price 2008 on Data.gov, OpenEI.org, U.S. Census data, SmartGrid.gov EIA's Electric Sales, Revenue and Average Price 2008Data.govOpenEI.orgU.S. Census dataSmartGrid.gov Please note: this application was made as a mashup demonstration and is not a complete application. Some assumptions were made in creation of this application and merging of data sources. This application is provided as-is with no warranty as to the usability or suitability of this application or data towards any specific intent or purpose. Annual solar (PV) value was calculated using the National Renewable Energy Laboratory's Solar Advisor Model application. A typical residential solar PV system is approximately 5kW, and depending on how good the sunshine is where you live, such a system can offset between 6,000 kWh and 9,000 kWh of your electricity usage per year. That’s equivalent to 50% - 80% of the average US home energy usage per year!Solar Advisor Model When you multiply your solar system’s annual energy output by your electric utility rate, you can see how much money your solar energy is worth (Annual PV Value). An average rate in California is about 15 cents per kWh. Multiplying that by your solar system’s energy shows that you can get about $1000 every year from having solar on your roof!

13 Mashup information This mashup's source code may be downloaded, modified and reused.mashup's source code Are you a developer? Here are several ideas to make this application better: Tie application directly to the 2000 US Census records, pulling other interesting facts2000 US Census records Add other cities or allow user to add his/her city. This will require some code cleanup and further data linkages to make adding new cities programmatic. Update application when 2010 census data is released. Find other data sources on Data.gov and other sites to make the application more interesting. Create more detailed charting.

14 OpenEI Datasets

15 OpenEI Datasets

16 Spotfire PC Desktop and Web Player

17 Spotfire Web Player

18 Getting to 'the 5 stars of Linked Open Data' for Data.gov 1. Make your stuff available on the web (whatever format); YES 2. Make it available as structured data (e.g. excel instead of image scan of a table); YES 3. Non-proprietary format (e.g. csv instead of excel); YES 4. Use URLs to identify things, so that people can point at your stuff; and YES 5. Link your data to other people’s data to provide context. YES