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Data Repurposing through Compatibility: A Computational Perspective

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  • Asia J. Biega

Abstract

Reuse of data in new contexts beyond the purposes for which it was originally collected has contributed to technological innovation and reducing the consent burden on data subjects. One of the legal mechanisms that makes such reuse possible is purpose compatibility assessment. In this paper, I offer an in-depth analysis of this mechanism through a computational lens. I moreover consider what should qualify as repurposing apart from using data for a completely new task, and I argue that typical purpose formulations are an impediment to meaningful repurposing. Overall, the paper positions compatibility assessment as a constructive practice beyond an ineffective standard.

Suggested Citation

  • Asia J. Biega, 2024. "Data Repurposing through Compatibility: A Computational Perspective," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 180(2), pages 368-392.
    • Handle: RePEc:mhr:jinste:urn:doi:10.1628/jite-2024-0017
    DOI: 10.1628/jite-2024-0017
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    More about this item

    Keywords

    data protection; repurposing; compatibility assessment; purpose limitation;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
    • K24 - Law and Economics - - Regulation and Business Law - - - Cyber Law

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