Data Minimization Requirements

Data Minimization Requirements is a formal specification within privacy requirements engineering that mandates the collection, processing, and retention of personal data to be strictly limited to the minimum necessary for fulfilling a defined purpose, thereby distinguishing it from broader privacy requirements by its focused constraint on data scope and volume.

14

Publications

423

Citations

43

Authors

26

Institutions

Publications per year

2017–2026

5

Authors

43

  1. AK
    Andrey Kostenko

    1 publications · 137 citations

    1

    h-index

  2. RA
    Roger A. Garrett

    University of Copenhagen, Denmark

    1 publications · 39 citations

    1

    h-index

  3. GP
    Garry P. Nolan

    Stanford University, United States

    1 publications · 15 citations

    1

    h-index

  4. DS
    Daniel Strüber

    University of Koblenz and Landau, Germany

    1 publications · 33 citations

    1

    h-index

  5. SF
    Simone Fischer‐Hübner

    Karlstad University, Sweden

    1 publications · 29 citations

    1

    h-index

1–5 of 43

Venues

  1. 1

    h-index

  2. IEEE Transactions on Computers

    1 publications · 18 citations

    1

    h-index

  3. Journal of Econometrics

    1 publications · 13 citations

    1

    h-index

  4. Journal of Medical Internet Research

    1 publications · 29 citations

    1

    h-index

  5. Software & Systems Modeling

    SoSyM · 1 publications · 33 citations

    1

    h-index

1–5