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Pages 1-10

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From page 1...
... national data infrastructure has relied on the operations of the federal statistical system and the data assets that it holds. Throughout the 20th century, federal statistical agencies aggregated survey responses from households and businesses to produce information about the nation and diverse subpopulations.
From page 2...
... The panel convened a 1.5-day virtual public workshop to seek input from key stakeholders and external experts and to discuss issues surrounding the components and key characteristics of a 21st century national data infrastructure, including governance; the capabilities, techniques, and methods required; and the sharing of data assets (e.g., federal, state, and local government, institutional, and private sector data)
From page 3...
... This report describes the need for a new national data infrastructure, presents an initial vision, and describes expected outcomes and key attributes of a new national data infrastructure. The report also discusses the implications of blending data from multiple sources as well as the organizational implications of cross-sector data ­access and use.
From page 4...
... 3. Mobilization of relevant digital data assets, blended in statistical aggregates to providing benefits to data holders, with societal benefits proportionate to possible costs and risks.
From page 5...
... Mobilization of Relevant Digital Data Assets, Blended in Statistical Aggregates to Provide Benefits to Data Holders, with Societal Benefits Proportionate to Possible Costs and Risks In the panel's vision, a new data infrastructure should have access to relevant, existing, digital assets for the creation of essential aggregates. 1 In this chapter and throughout the report, the term "professionalism" in compiling na tional statistics -- either within the existing federal statistical system or the new data infrastructure -- is based on authoritative information presented by the National Academies of Sciences, Engineering, and Medicine (2021)
From page 6...
... However, many laws and regulations do prohibit federal statistical agencies from using existing data for statistical purposes. In the panel's vision of a 21st century national data infrastructure, it is assumed that the
From page 7...
... Data governance involves active stakeholder engagement, oversight protocols, open and transparent communications, and accountability. ­Standards in data definitions and access protocols are critical to providing inter­operability across partners essential to a new data infrastructure.
From page 8...
... Transparency to the Public Regarding Analytical Operations Using the Infrastructure In the panel's opinion, at any time, the public, data holders, and data subjects should be able to understand how their data are used, by whom, for what purposes, and to what societal benefit. Transparency is a p­ rerequisite for accountability, enabling the public to express concerns, seek redress, and oversee compliance with a new data infrastructure's stated mission.
From page 9...
... needed is not a data warehouse, but rather a computational resource for linking data files in diverse ways, to produce blended statistics. The panel foresees several potential organizational models for this new entity: within the federal government, outside the federal government, or as a new public-private partnership.
From page 10...
... For example, CEP proposed NSDS to produce statistical information for evidence-building by temporarily accessing multiple federal programs and statistical data assets and blending them as needed. The panel sees the value of NSDS for informing the public about the well-being of the economy and society, and for advising future data-blending entities.


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