New Report: “Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy”
The following report was recently published by National Academies Press.
The full text is available to read online and/or download (free). It’s also available for pre-order.
Title
Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy
Author
National Academies of Sciences, Engineering, and Medicine
Source
National Academies Press
doi:10.17226/246522017
Description
Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels.
Innovations in Federal Statistics fosters a paradigm shift in federal statistical programs that would use combinations of diverse data sources from government and private-sector sources in place of a single census, survey, or administrative record. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.
Direct to Publication
Filed under: Data Files, News
About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.
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