Innovations in Federal Statistics Combining Data Sources While Protecting Privacy (2017) / Chapter Skim
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1 Introduction
1 Introduction
Pages 5-12
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From page 5... ...
. Statistics on consumer prices are used to adjust tax rates and government program benefits, such as Social Security, for cost-of-living increases.1 Whether people realize it or not, federal statistics continuously touch their lives.
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. Of wider significance, federal surveys have contributed to important public policy initiatives and new social science knowledge in fields as varied as science and engineering resources, agricultural output, assistance for lowincome people, crime victimization, housing quality, business ownership, health care costs and quality, educational attainment, labor force experience, and how people use their time and feel about their lives.
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To the extent that the use of other data sources makes it possible to enrich the quality of federal statistics without increasing (or perhaps even decreasing) the burden on survey respondents, the federal statistical system can more efficiently serve the country.
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, in the Division of Behavioral and Social Sciences and Education (DBASSE) at the National Academy of Sciences, Engineering, and Medicine, received funding from the Laura and John Arnold Foundation to convene an ad hoc committee of nationally renowned experts in social science research, sociology, survey methodology, economics, statistics, privacy, public policy, and computer science to foster a possible shift in federal statistical programs -- from the current approach of providing users with the output from a single census, survey, or administrative records source to a new paradigm of combining data sources with state-of-the-art methods.
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It will also provide recommendations for needed research to move forward with a paradigm of using multiple data sources for federal statistics. As part of its fact-gathering activities, the panel sponsored three public workshops (see Appendix A for the workshop agendas)
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More specifically, the first report will discuss: • ederal statistical agencies' current paradigm for producing national f statistics and challenges to this paradigm; • ederal statistical agencies' legal frameworks and mechanisms for pro f tecting the privacy and confidentiality of their data and challenges to those frameworks and mechanisms; • ederal statistical agencies' legal frameworks and mechanisms for pro f viding access to underlying data to researchers to foster transparency, replicability of statistical series, and for policy and social science research and challenges to those frameworks and mechanisms; • ederal statistical agencies' access to alternative sources of data for fed f eral statistical programs, the organizational structures sustaining access, and the impediments to access; The third workshop, held in June 2016, examined state and local governments' use of administrative and other data sources, including how local integrated data systems are created, governed, and used to improve community services. The workshop also included discussions on some of the difficulties in trying to establish integrated data systems, obtaining and
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Second Report The second report will propose approaches for implementing a new para digm that would combine diverse data sources from government and private sec tor sources with state-of-the-art methods to give users richer and more reliable statistics. The second report will: • ssess alternative approaches for implementing a new paradigm that a would combine diverse data sources from government and private sector sources; • valuate concepts, metrics, and methods for assessing the quality and e utility of alternative data sources, analogous to the "total error" framework used for surveys; • valuate statistical models for combining data from multiple sources; e • xamine metrics and methods for evaluating the quality of combined e information estimates; • valuate alternative designs of statistical processes that foster privacy e protections, transparency, objectivity, timeliness, replicability, efficiency, and continuity of statistical series; and • dentify priorities for research needed for federal statistical agencies to i advance a multiple-data-sources paradigm.
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Chapter 4 describes some private-sector data sources that might be usable for federal statistics, the benefits of and challenges with these data, and current efforts in the United States and in the national statistical offices of other countries to explore and use these alternative sources. The last two chapters begin to lay a foundation for a new approach to federal statistics and social science research.
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