In 2008, the Disaster Assistance Improvement Program (DAIP), an E-Government initiative led by FEMA with support from 16 U.S. Government partners, launched DisasterAssistance.gov to simplify the process for disaster survivors to identify and apply for disaster assistance. DAIP utilized existing partner technologies and implemented a services oriented architecture (SOA) that integrated the content management system and rules engine supporting Department of Labor’s Benefits.gov applications with FEMA’s Individual Assistance Center application. The FEMA SOA serves as the backbone for data sharing interfaces with three of DAIP’s federal partners and transfers application data to reduce duplicate data entry by disaster survivors.
Bloomberg Government analysts put together a prototype through the Census Bureau’s Opportunity Project to better assess where volunteers should direct litter-clearing efforts. Using Census Bureau and Forest Service information, the team brought a data-driven approach to their work. Their experience reveals how individuals with data expertise can identify a real-world problem that data can help solve, navigate across agencies to find and obtain the most useful data, and work within resource constraints to provide a tool to help address the problem.
Purchase-to-Plate Crosswalk (PPC) links the more than 359,000 food products in a comercial company database to several thousand foods in a series of USDA nutrition databases. By linking existing data resources, USDA was able to enrich and expand the analysis capabilities of both datasets. Since there were no common identifiers between the two data structures, the team used probabilistic and semantic methods to reduce the manual effort required to link the data.
A recent collaboration between the Bureau of Economic Analysis (BEA) and the Bureau of Labor Statistics (BLS) helps shed light on the segment of the American workforce employed by foreign multinational companies. This case study shows the opportunities of cross-agency data collaboration, as well as some of the challenges of using big data and administrative data in the federal government.
Bureau of Economic Analysis / Bureau of Labor Statistics
NASA’s data scientists and research content managers recently built an automated tagging system using machine learning and natural language processing. This system serves as an example of how other agencies can use their own unstructured data to improve information accessibility and promote data reuse.
This case study details the development of the renewable energy applications built on the Open Energy Information (OpenEI) platform, sponsored by the Department of Energy (DOE) and implemented by the National Renewable Energy Laboratory (NREL).
The Federal Trade Commission (FTC) releases data from millions of consumer complaints about unwanted calls to help fuel a myriad of private-sector solutions to tackle the problem. The FTC’s work serves as an example of how agencies can work with the private sector to encourage the innovative use of government data toward solutions that benefit the public.
The Census Bureau team produced a new interactive mapping tool in early 2018 called the Response Outreach Area Mapper (ROAM), an application that resulted in wider use of authoritative Census Bureau data, not only to improve the Census Bureau’s own operational efficiency, but also for use by tribal, state, and local governments, national and local partners, and other community groups. Other agency data practitioners can learn from the Census Bureau team’s experience communicating technical needs to non-technical executives, building analysis tools with widely-used software, and integrating efforts with stakeholders and users.
The Veterans Legacy Memorial (VLM) is a digital platform to help families, survivors, and fellow veterans to take a leading role in honoring their beloved veteran. Built on millions of existing National Cemetery Administration (NCA) records in a 25-year-old database, VLM is a powerful example of an agency harnessing the potential of a legacy system to provide a modernized service that better serves the public.
This case study describes how CMS announced the creation of the Office of Information Products and Data Analytics (OIPDA) to take the lead in making data use and dissemination a core function of the agency.
It is a well-kept secret that the U.S. Geological Survey and the U.S. Census Bureau were the original two federal agencies to build the first national digital database of roads and boundaries in the United States. The agencies joined forces to develop homegrown computer software and state of the art technologies to convert existing USGS topographic maps of the nation to the points, lines, and polygons that fueled early GIS. Today, the USGS and Census Bureau have a longstanding goal to leverage and use roads and authoritative boundary datasets.
The Federal Committee on Statistical Methodology (FCSM) is an interagency committee dedicated to improving the quality of Federal statistics. The FCSM was created by the Office of Management and Budget (OMB) to inform and advise OMB and the Interagency Council on Statistical Policy (ICSP) on methodological and statistical issues that affect the quality of Federal data.
A subscription list of Federal community of practice email listservs based around digital topics such as open data, user experience, and the U.S. Web Design System. Each community provides an email list to collaborate and share resources with others across government.
Issues guidance to remind agencies of several privacy-related legal requirements that apply to computer matching and to clarify how agencies should conduct computer matching activities. Dated December 20, 2000.
Office of Management and Budget memo that encourages Federal agencies to engage in coordinated, collaborated data-sharing in a manner that complies with applicable privacy laws, regulations, and polices. Dated November 3, 2010.
To encourage the greater use of administrative data for statistical purposes, this Memorandum provides agencies with guidance for addressing the legal, policy, and operational issues that exist with respect to using administrative data for statistical purposes. Dated February 14, 2014.
Data.gov is the central clearinghouse for open data from the United States federal government and also provides access to many local government and non-federal open data resources. Find out below how federal, federal geospatial, and non-federal data is funneled to Data.gov and how you can get your data federated on Data.gov for greater discoverability and impact.