The efforts by the Biden-Harris administration to prioritize data for addressing pandemic response and social equity issues are a promising sign about the path ahead for using data to responsibly inform policymaking. Three actions demonstrate incredible progress and momentum about the role data will play in the administration’s efforts.
The Data Coalition and the Data Foundation announce a merger agreement to align efforts and missions for further advancing and promoting effective use of government data in 2021.
The Data Foundation is launching the Policing in America Survey to fill a long-overdue gap in systematically understanding the American people’s views of the criminal justice system and police forces.
The report surveyed federal government Chief Data Officers (CDO) to assess progress implementing their new roles and responsibilities. There are signs of progress, as federal agencies implement the Evidence Act and supplemental guidance.
Today the Data Foundation released the first week (April 20-26, 2020) of data collected in the COVID Impact Survey. The survey is an effort to provide national and regional statistics about physical health, mental health, economic security, and social dynamics in the United States during the coronavirus pandemic.
Congress passed the CHIPS and Science Act of 2022 (CHIPS+), which will establish a National Secure Data Service (NSDS). The CHIPS+ Act includes a provision to establish the NSDS demonstration project at the National Science Foundation. The NSDS has been a long-standing legislative priority of the Data Coalition Initiative, an organization that advocates for responsible policies to make government data high-quality, accessible, and usable.
The Data Transparency Coalition is changing its name to Data Coalition. Today also marks the launch of the Data Foundation, the nation’s first industry-focused open data research organization. Through research, education, and programming, the new Foundation will illuminate the benefits of transforming government information into standardized, open data.
