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Towards an Affordance-Based Typology of Personal Data Stores

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Privacy and Identity Management. Sharing in a Digital World (Privacy and Identity 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 695))

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Abstract

Personal Data Stores are often presented as a tool for data subjects to take back control over the processing of their personal data. Backed by data portability and access rights afforded by recent European legislative efforts, these Personal Data Stores are to collate various personal data in a digital location under the control of the data subject, effectively disconnecting data from applications. Through a review of 16 existing Personal Data Stores, this paper provides a timely affordance-based typology covering data processing, sharing and consent options, and (data) visualisation. We find six distinct Personal Data Store affordances: i) Data sharing, ii) Access and control, iii) Secure storage, iv) Cognition, v) Authentication, and vi) Monetisation. Notably, the data sharing affordance is the most commonly available in our sample of Personal Data Stores. These findings can inform the design and development of personal data stores by providing a typology for understanding the affordances that should be considered when creating new data store offerings.

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  • 28 August 2024

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Acknowledgements

This research is supported by SolidLab Vlaanderen (Flemish Government, EWI and RRF project VV023/10).

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Authors and Affiliations

  1. imec-SMIT-VUB, Vrije Universiteit Brussel, Brussels, Belgium

    August Bourgeus, Nanouk Verhulst & Laurens Vandercruysse

  2. imec-Mict-Ugent, Ghent University, Ghent, Belgium

    Tim Theys & Peter Mechant

  3. Department of Business, Vrije Universiteit Brussel, Brussels, Belgium

    Nanouk Verhulst

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  1. August Bourgeus
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  4. Laurens Vandercruysse
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  5. Peter Mechant
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Correspondence to August Bourgeus .

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Editors and Affiliations

  1. ULD, Germany, Kiel, Germany

    Felix Bieker

  2. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Silvia de Conca

  3. University of Oslo, Oslo, Norway

    Nils Gruschka

  4. Karlstad University, Karlstad, Sweden

    Meiko Jensen

  5. Ostfalia University of Applied Sciences, Wolfenbüttel, Niedersachsen, Germany

    Ina Schiering

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Bourgeus, A., Theys, T., Verhulst, N., Vandercruysse, L., Mechant, P. (2024). Towards an Affordance-Based Typology of Personal Data Stores. In: Bieker, F., de Conca, S., Gruschka, N., Jensen, M., Schiering, I. (eds) Privacy and Identity Management. Sharing in a Digital World. Privacy and Identity 2023. IFIP Advances in Information and Communication Technology, vol 695. Springer, Cham. https://doi.org/10.1007/978-3-031-57978-3_3

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  • DOI: https://doi.org/10.1007/978-3-031-57978-3_3

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