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Innovations in Federal Statistics

Combining Data Sources While Protecting Privacy

Authors: ; ; ; . Editors: Brian A. Harris-Kojetin and Robert M. Groves.

Washington (DC): National Academies Press (US); .
ISBN-13: 978-0-309-45428-5ISBN-10: 0-309-45428-X

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 examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. 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.

Contents

This activity was supported by a grant from the Laura and John Arnold Foundation with additional support from the National Academy of Sciences Kellogg Fund. Support for the work of the Committee on National Statistics is provided by a consortium of federal agencies through a grant from the National Science Foundation (award number SES-1024012). Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.

Suggested citation:

National Academies of Sciences, Engineering, and Medicine. (2017). Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652.

Copyright 2017 by the National Academy of Sciences. All rights reserved.
Bookshelf ID: NBK425875PMID: 28426187DOI: 10.17226/24652

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