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De-identification as public policy

Author

Listed:
  • Rosner, Gilad L.

    (Founder, IoT Privacy Forum, UK)

Abstract

Canada’s data privacy law, the Personal Information Protection and Electronic Documents Act (PIPEDA), does not require or incentivise de-identification of personal data for purposes of sharing or research. This regulatory lacuna puts Canadian national law at a disadvantage in contrast with the privacy regimes of other countries, such as the United Kingdom, Australia and the United States, all of whom have regulatory language requiring or incentivising de-identification by custodians of personal data. This paper is based on a report commissioned by the Office of the Privacy Commissioner of Canada in service of eventual reform of PIPEDA to include de-identification. The paper addresses terminology, definitions, key debates and policy in other jurisdictions. It recommends legal reform, specific regulatory actions, and investigation of emerging policy strategies and lists remaining open questions for the development of a national Canadian de-identification policy. Chief among these recommendations is a reorientation from a regulatory focus on ‘outputs’ (‘Is the dataset rendered anonymous?’) to a focus on ‘process’ (‘Has the data custodian taken proper steps to reduce identification and privacy risks?’). In part, this is based on a rejection of the possibility of ‘irreversible anonymisation’. Relatedly, the paper argues for requiring a risk management approach to de-identification and for the discouragement of the ‘release-andforget’ model of data disclosure, which relies only on data transformations while ignoring technical, physical, administrative and contractual controls.

Suggested Citation

  • Rosner, Gilad L., 2020. "De-identification as public policy," Journal of Data Protection & Privacy, Henry Stewart Publications, vol. 3(3), pages 250-267, June.
  • Handle: RePEc:aza:jdpp00:y:2020:v:3:i:3:p:250-267
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    More about this item

    Keywords

    de-identification; PIPEDA; Canadian law; data protection; anonymisation; risk management;
    All these keywords.

    JEL classification:

    • K2 - Law and Economics - - Regulation and Business Law

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