Committee on National Statistics & Division of Behavioral and Social Sciences and Education 
Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data [EPUB ebook] 

Supporto
Copertina di Committee on National Statistics & Division of Behavioral and Social Sciences and Education: Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data (ePUB)

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.

€24.32
Modalità di pagamento
Acquista questo ebook e ricevine 1 in più GRATIS!
Lingua Inglese ● Formato EPUB ● Pagine 164 ● ISBN 9780309712415 ● Editore Jennifer Park & Jerome P. Reiter ● Casa editrice National Academies Press ● Pubblicato 2024 ● Scaricabile 3 volte ● Moneta EUR ● ID 9424992 ● Protezione dalla copia Adobe DRM
Richiede un lettore di ebook compatibile con DRM

Altri ebook dello stesso autore / Editore

128.769 Ebook in questa categoria