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Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data

By: (Author) Committee on National Statistics , (Author) Division of Behavioral and Social Sciences and Education , (Author) and Medicine National Academies of Sciences Engineering , (Author) Panel on Approaches to Sharing Blended Data in a 21st Century Data Infrastructure , (Edited by) Jennifer Park , (Edited by) Jerome P. Reiter

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Format: Paperback / Softback

ISBN-10: 0309712386

ISBN-13: 9780309712385

Publisher: National Academies Press

Imprint: National Academies Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 25th, 2024

Print length: 164 Pages

Product Classification: Society & social sciences
Social research & statistics

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Protecting privacy and ensuring confidentiality in data is a critical component of modernizing our national data infrastructure. The use of blended data - combining previously collected data sources - presents new considerations for responsible data stewardship. Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data provides a framework for managing disclosure risks that accounts for the unique attributes of blended data and poses a series of questions to guide considered decision-making. Technical approaches to manage disclosure risk have advanced. Recent federal legislation, regulation and guidance has described broadly the roles and responsibilities for stewardship of blended data. The report, drawing from the panel review of both technical and policy approaches, addresses these emerging opportunities and the new challenges and responsibilities they present. The report underscores that trade-offs in disclosure risks, disclosure harms, and data usefulness are unavoidable and are central considerations when planning data-release strategies, particularly for blended data. Table of ContentsFront MatterSummary1 Introduction2 Technical Approaches to Managing Risk When Sharing Blended Data3 Policy Approaches to Managing Risks When Sharing Blended Data4 A Model Framework for Decision Making When Sharing Blended Data5 ConclusionGlossary of Selected TermsReferencesAppendix A: Workshop Event AgendasAppendix B: Biographical Sketches of Workshop Event PresentersAppendix C: Biographical Sketches of Panel Members

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