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        Personal Data as an Economic Asset

        Compatibility with the EU Charter of Fundamental Rights

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        Author(s)
        Jaud, Philipp
        Collection
        Knowledge Unlatched (KU); KU Open Services
        Number
        5261a2b6-93c6-4a7e-a038-e38bf6f0da49
        Language
        English
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        Abstract
        Philipp Jaud explores the compatibility of personal data as an economic asset with the European Union's Charter of Fundamental Rights. By analysing the nuanced nature of personal data, the contextual interpretation of the Court of Justice of the EU is brought into focus, with the author delving into data monetisation, profiling, and breaches to highlight the variable value of personal data. Emphasising data subjects' rights, ownership debates and proposals for legal frameworks are discussed, while legislative responses and challenges in the digital age are scrutinised and a balanced approach is advocated for. The Charter's applicability to economic data use is explored, underlining fairness, transparency, and consent. The conclusion allows the reader to contemplate the potential alignment of economic data use with the Charter, accentuating individual autonomy within evolving legal frameworks and societal consciousness.
        URI
        https://library.oapen.org/handle/20.500.12657/93919
        Keywords
        Law; Constitutional; Law; International; Law; Public
        DOI
        10.1628/978-3-16-163407-9
        ISBN
        9783161634079, 9783161634062
        Publisher
        Mohr Siebeck
        Publisher website
        https://www.mohrsiebeck.com/
        Publication date and place
        2024
        Grantor
        • Knowledge Unlatched
        Imprint
        Mohr Siebeck GmbH & Co. KG
        Classification
        Constitutional & administrative law
        International law
        Laws of Specific jurisdictions
        Rights
        https://creativecommons.org/licenses/by-sa/4.0/
        • Harvested from KU

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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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