Contextual Data Limitation

Contextual Data Limitation is a data minimization framework that restricts data collection and processing to only those data elements relevant and necessary within a specific operational, legal, or ethical context, thereby distinguishing itself from broader data limitation approaches by its emphasis on situational appropriateness and purpose-bound constraints.

10

Publications

313

Citations

35

Authors

13

Institutions

Publications per year

2017–2026

6

Authors

35

  1. EL
    Ewa Luger

    University of Edinburgh, United Kingdom

    2 publications · 41 citations

    2

    h-index

  2. PV
    Pieter van’t Veer

    Wageningen University & Research, Netherlands

    1 publications · 52 citations

    1

    h-index

  3. PB
    Philippe Bolon

    Université Savoie Mont Blanc, France

    1 publications · 19 citations

    1

    h-index

  4. AG
    Anouk Geelen

    Wageningen University & Research, Netherlands

    1 publications · 52 citations

    1

    h-index

  5. AC
    Anthony Crédoz

    Total (France), France

    1 publications · 19 citations

    1

    h-index

1–5 of 35

Venues

  1. Frontiers in Artificial Intelligence

    1 publications · 50 citations

    1

    h-index

  2. Remote Sensing

    1 publications · 19 citations

    1

    h-index

  3. Interacting with Computers

    1 publications · 29 citations

    1

    h-index

  4. Nutrition Journal

    1 publications · 52 citations

    1

    h-index

  5. 1

    h-index

1–5