On Page 9 of the CONOP, the example of Forbes' use of Federal data to develop the list of "America's Safest Cities" brings to light a significant risk associated with providing 'raw data' for public consumption. As you are aware, much of the crime data used for that survey is drawn from the Uniformed Crime Reporting effort of the FBI. As self-reported on the "Crime in the United States" website, "Figures used in this Report are submitted voluntarily by law enforcement agencies throughout the country. Individuals using these tabulations are cautioned against drawing conclusions by making direct comparisons between cities. Comparisons lead to simplistic and/or incomplete analyses that often create misleading perceptions adversely affecting communities and their residents."
Because Data.gov seeks to make raw data available to a broad set of potential users, how will Data.gov address the issue of data quality within the feeds provided through Data.gov? Currently, federal agency Annual Performance Reports required under the Government Performance and Results Act (GPRA) of 1993 require some assurance of data accuracy of the data reported; will there be a similar process for federal agency data made accessible through Data.gov? If not, what measures wll be put in-place to ensure that conclusions drawn from the Data.gov data sources reflect the risks associated with 'raw' data? And, how will we know that the data made available through Data.gov is accurate and up-to-date?