Data Collection Limitation

Data Collection Limitation is a privacy-preserving principle within data governance frameworks that restricts the acquisition of personal information to only what is strictly necessary for a specified, legitimate purpose, thereby distinguishing it from broader data collection practices by emphasizing minimization and purpose specificity.

69

Publications

2.9K

Citations

239

Authors

125

Institutions

Publications per year

2017–2026

26

Authors

239

  1. AR
    Aleli Rosario

    Asian Development Bank Institute, Japan

    2 publications · 41 citations

    2

    h-index

  2. ZX
    Ziyun Xu

    Universitat Rovira i Virgili, Spain

    2 publications · 22 citations

    2

    h-index

  3. MB
    Marissa Barcenas

    Asian Development Bank Institute, Japan

    2 publications · 41 citations

    2

    h-index

  4. VH
    Viktoria H.S.E. Robertson

    University of Graz, Austria

    2 publications · 79 citations

    2

    h-index

  5. SC
    Sining Cuevas

    Asian Development Bank, Philippines

    2 publications · 41 citations

    2

    h-index

1–5 of 239

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 127 citations

    3

    h-index

  2. PubMed

    Repository · 2 publications · 134 citations

    2

    h-index

  3. 1

    h-index

  4. Health Education Quarterly

    1 publications · 79 citations

    1

    h-index

  5. Perspectives

    1 publications · 12 citations

    1

    h-index

1–5