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    The Boundaries of Data

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    Contributor(s)
    van der sloot, bart (editor)
    van Schendel, Sascha (editor)
    Collection
    Dutch Research Council (NWO)
    Language
    English
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    Abstract
    The legal domain distinguishes between different types of data and attaches a different level of protection to each of them. Thus, non-personal data are left largely unregulated, while privacy and data protection rules apply to personal data or personal information. There are stricter rules for processing sensitive personal data than for ‘ordinary’ personal data, and metadata or communications data are regulated differently than content communications data. Technological developments challenge these legal categorisations on at least three fronts: First, the lines between the categories are becoming harder to draw and more fluid. Second, working with various categories of data works well when the category a datum or dataset falls into is relatively stable. However, this is less and less so. Third, scholars increasingly question the rationale behind the various legal categorisations. This book assesses to what extent either of these strategies is feasible and to what extent alternative approaches could be developed by combining insights from three fields: technology, practice and law.
    URI
    https://library.oapen.org/handle/20.500.12657/87784
    Keywords
    Personal data, anonymous data, pseudonymous data, metadata, sensitive personal data
    DOI
    10.5117/9789463729192
    ISBN
    9789463729192, 9789048557998
    Publisher
    Amsterdam University Press
    Publisher website
    https://www.aup.nl/
    Publication date and place
    Amsterdam, 2024
    Grantor
    • Dutch Research Council (NWO) - VI.Veni.201R.082) - Veni Grant
    • Ministerie van Onderwijs, Cultuur en Wetenschap - Law Sector Plan
    Classification
    Constitutional and administrative law: general
    Privacy law
    Ethical issues and debates
    Pages
    333
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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