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  • #121318

    From Gary Price, elsewhere –

    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,
    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
    Gary D. Price, MLIS
    Co-Founder and Editor, Library Journal’s infoDOCKET
    Information Industry Analyst

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