From Gary Price, elsewhere –
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NEW FROM NIST
Aug 25, 2016
DRAFT De-Identifying Government Datasets
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,
http://csrc.nist.gov/publications/PubsNISTIRs.html#NIST-IR-8053
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.
Email comments to: ***@***.***(Subject: “Comments Draft
SP 800-188”)
Comments due by: September 26, 2016
FULL TEXT DOC
http://csrc.nist.gov/publications/drafts/800-188/sp800_188_draft.pdf
__gary
Gary D. Price, MLIS
Co-Founder and Editor, Library Journal’s infoDOCKET
Information Industry Analyst
Librarian
http://infoDOCKET.com
@infodocket