Fair Data Use

Fair Data Use is a principle in data management ethics that belongs to the category of normative data governance standards, distinguished by its requirement that data be collected, processed, and utilized in ways that ensure equitable treatment, transparency, and accountability while preventing bias, discrimination, and unjust exploitation of individuals or groups.

198

Publications

11.9K

Citations

1.5K

Authors

717

Institutions

Publications per year

2017–2026

169

Authors

1.5K

  1. NJ
    Nick Juty

    European Bioinformatics Institute, United Kingdom

    6 publications · 233 citations

    6

    h-index

  2. ES
    Erik Schultes

    Leiden University Medical Center, Netherlands

    6 publications · 248 citations

    6

    h-index

  3. RK
    Rajaram Kaliyaperumal

    Leiden University Medical Center, Netherlands

    5 publications · 214 citations

    5

    h-index

  4. IF
    Ian Foster

    Argonne National Laboratory, United States

    5 publications · 231 citations

    5

    h-index

  5. AJ
    Annika Jacobsen

    Leiden University Medical Center, Netherlands

    5 publications · 243 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. Data Intelligence

    14 publications · 508 citations

    12

    h-index

  2. Scientific Data

    11 publications · 478 citations

    11

    h-index

  3. SSRN Electronic Journal

    Repository · 5 publications · 135 citations

    5

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 4 publications · 178 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 508 citations

    3

    h-index

1–5