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On opening sensitive data sets in light of GDPR

Published: 03 April 2019 Publication History

Abstract

Disclosure of personal data is considered as one of the main threats for data opening. In this contribution we consider the data that are sensitive in GDPR terms (for example, criminal justice data within the Dutch justice domain) and discuss how they can be opened. According to Dutch laws, such data can be opened if they are without personal information. Subsequently, we distinguish two cases for having no personal information in data sets based on whether the data controller cannot or can revert the data protection process. These two cases are related to two GDPR concepts of data being anonymous or pseudonymized in its GDPR sense, respectively. In this contribution we highlight the need for deciding on which GDPR concept should be adopted for opening sensitive data sets (i.e., whether the opened data should be protected against data controllers or not). For making this decision, we recommend policymakers to consider also the impacts of realizing the prevalent concept on, e.g., data utility.

References

[1]
Wob. "Wet openbaarheid van bestuur". 1991. Available: http://wetten.overheid.nl/BWBR0005252/2018-07-28 (retrieved 2 Oct. 18).
[2]
NODA letter. In Dutch: "Kamerbrief over nationale open data agenda 2016". 2015-0000710114, 30 Nov 2015. Available: www.rijksoverheid.nl/documenten/kamerstukken/2015/11/30/kamerbrief-over- nationale-open-data-agenda-2016-noda (retrieved on 2 Oct. 18).
[3]
Wpg. In Dutch: "Wet politiegegevens". 2007. Available: http://wetten.overheid.nl/BWBR0022463/2018-05-01 (retrieved 2 Oct 2018).
[4]
Wjsg. In Dutch: "Wet justitiële en strafvorderlijke gegevens". Available: http://wetten.overheid.nl/BWBR0014194/2016-01-01 (retrieved 2 Oct 18).
[5]
M. Elliot, F. Mackey, K. O'Hara and C. Tudor. "The anonymisation decision-making framework". A technical report by UK Anonymisation Network (UKAN). UK: UKAN, 2016. Available: http://ukanon.net/wp- content/uploads/2015/05/The-Anonymisation-Decision-makin g-Framework.pdf (retrieved on 2 Oct 18).
[6]
K. El Emam and B. Malin. "Concepts and methods for de-identifying clinical trial data". Paper commissioned by the Committee on Strategies for Responsible Sharing of Clinical Trial Data. 2014.

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    ICEGOV '19: Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance
    April 2019
    538 pages
    ISBN:9781450366441
    DOI:10.1145/3326365
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 03 April 2019

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    Author Tags

    1. Data protection
    2. GDPR
    3. justice domain data
    4. open data
    5. privacy

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    Overall Acceptance Rate 350 of 865 submissions, 40%

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