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De-Identifying Government Datasets: Techniques and Governance

  • Author(s):
  • Simson Garfinkel
  • Joseph Near
  • Aref N. Dajani
  • Phyllis Singer
  • Barbara Guttman

De-identification is a general term for any process of removing the association between a set of identifying data and the data subject.

This document describes the use of deidentification with the goal of preventing or limiting disclosure risks to individuals and establishments while still allowing for the production of meaningful statistical analysis.

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Format:
  • White Paper
Topics:
Website:Visit Publisher Website
Publisher:National Institute of Standards and Technology (NIST)
Published:September 14, 2023
Copyright:©

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