Putting People on the Map: Protecting Confidentiality with Linked Social-Spatial Data - Softcover

National Research Council; Division Of Behavioral And Social Sciences And Education; Committee On The Human Dimensions Of Global Change; Panel On Confidentiality Issues Arising From The Integration Of Remotely Sensed And Self-Identifying Data

Softcover

ISBN 10: 0309104149 ISBN 13: 9780309104142

Publisher: National Academies Press, 2007

Synopsis

Precise, accurate spatial information linked to social and behavioral data is revolutionizing social science by opening new questions for investigation and improving understanding of human behavior in its environmental context. At the same time, precise spatial data make it more likely that individuals can be identified, breaching the promise of confidentiality made when the data were collected. Because norms of science and government agencies favor open access to all scientific data, the tension between the benefits of open access and the risks associated with potential breach of confidentiality pose significant challenges to researchers, research sponsors, scientific institutions, and data archivists. Putting People on the Map finds that several technical approaches for making data available while limiting risk have potential, but none is adequate on its own or in combination. This book offers recommendations for education, training, research, and practice to researchers, professional societies, federal agencies, institutional review boards, and data stewards.

Table of Contents

• Front Matter
• Executive Summary
• 1 Linked Social-Spatial Data: Promises and Challenges
• 2 Legal, Ethical, and Statistical Issues in Protecting Confidentiality
• 3 Meeting the Challenges
• 4 The Tradeoff: Confidentiality Versus Access
• References
• Appendix A: Privacy for Research Data
• Appendix B: Ethical Issues Related to Linked Social-Spatial Data
• Biographical Sketches for Panel Members and Staff

About this title

About the Author:

Panel on Confidentiality Issues Arising from the Integration of Remotely Sensed and Self-Identifying Data, National Research Council

About this edition

• Publisher: National Academies Press
• Publication date: 2007
• ISBN 10: 0309104149
• ISBN 13: 9780309104142
• Binding: Paperback
• Number of pages: 176
• Editor: Stern Paul C., Gutmann Myron P.