Consent-based Data Integration

Consent-Based Data Integration is a data integration framework that enables the unified management of customer data across disparate sources under the condition that explicit, informed consent is obtained from data subjects, thereby distinguishing it from other integration approaches by its foundational reliance on regulatory and ethical compliance in data access and usage.

6

Publications

171

Citations

28

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

28

  1. MM
    Miranda Mourby

    University of Oxford, United Kingdom

    1 publications · 37 citations

    1

    h-index

  2. BZ
    Bin Zhao

    University of Michigan, United States

    1 publications · 23 citations

    1

    h-index

  3. FJ
    Frank J. Manion

    University of Michigan, United States

    1 publications · 23 citations

    1

    h-index

  4. LK
    L. Köster

    University Hospital Heidelberg, Germany

    1 publications · 38 citations

    1

    h-index

  5. KA
    Kath Albury

    Swinburne University of Technology, Australia

    1 publications · 27 citations

    1

    h-index

1–5 of 28

Venues

  1. BMC Medical Informatics and Decision Making

    1 publications · 38 citations

    1

    h-index

  2. International Journal of Secure Software Engineering

    IJSSE · 1 publications · 16 citations

    1

    h-index

  3. Crime Media Culture An International Journal

    1 publications · 27 citations

    1

    h-index

  4. Science and Engineering Ethics

    1 publications · 37 citations

    1

    h-index

  5. Proceedings on Privacy Enhancing Technologies

    PoPETs · 1 publications · 30 citations

    1

    h-index

1–5