GovWhitePapers Logo

Sorry, your browser is not compatible with this application. Please use the latest version of Google Chrome, Mozilla Firefox, Microsoft Edge or Safari.

De-Identifying Government Datasets: Techniques and Governance

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.

  • Author(s):
  • Simson Garfinkel
  • Joseph Near
  • Aref N. Dajani
  • Phyllis Singer
  • Barbara Guttman
  • Share this:
  • Share on Facebook
  • Share on Twitter
  • Share via Email
  • Share on LinkedIn
De-Identifying Government Datasets: Techniques and Governance
Format:
  • White Paper
Topics:
Website:Visit Publisher Website
Publisher:National Institute of Standards and Technology (NIST)
Published:September 14, 2023
License:Public Domain

Featured Content

Contact Publisher

Claim Content