Date Published: August 2016
Comments Due: September 26, 2016 (public comment period is CLOSED)
Email Questions to: firstname.lastname@example.org
Withdrawn: December 15, 2016
Simson Garfinkel (NIST)
NIST Requests Comments on a Draft Special Publication regarding the De-Identification of Government Datasets
De-identification removes identifying information from a dataset so that the remaining data cannot be linked with specific individuals. Government agencies can use de-identification to reduce the privacy risk associated with collecting, processing, archiving, distributing or publishing government data. Previously NIST published NISTIR 8053, De-Identification of Personal Information, which provided a survey of de-identification and re-identification techniques. This document provides specific guidance to government agencies that wish to use de-identification.
In developing the draft Privacy Risk Management Framework, NIST sought the perspectives and experiences of de-identification experts both inside and outside the US Government.
Future areas of work will focus on developing metrics and tests for de-identification software, as well as working with industry and academia to make algorithms that incorporate formal privacy guarantees usable for government de-identification activities.
Keywords de-identification; re-identification; Disclosure Review Board; data life cycle; the five safes; k-anonymity; differential privacy; pseudonymization; direct identifiers; quasi-identifiers; privacy; synthetic data
System and Communications Protection;