Big Data Ethics

Big Data Ethics is a branch of health information ethics that systematically examines the moral principles and societal implications governing the collection, analysis, and use of large-scale, complex datasets in healthcare, distinguished by its focus on ethical challenges arising from data volume, velocity, variety, and veracity in biomedical and public health contexts.

643

Publications

45.5K

Citations

1.5K

Authors

795

Institutions

Publications per year

2017–2026

417

Authors

1.5K

  1. EV
    Effy Vayena

    ETH Zurich, Switzerland

    9 publications · 1.3K citations

    9

    h-index

  2. KC
    Kate Crawford

    Microsoft (United States), United States

    5 publications · 784 citations

    5

    h-index

  3. MR
    Mark Ryan

    Wageningen University & Research, Netherlands

    5 publications · 239 citations

    5

    h-index

  4. AB
    Alessandro Blasimme

    ETH Zurich, Switzerland

    4 publications · 1.1K citations

    4

    h-index

  5. BC
    Bernd Carsten Stahl

    De Montfort University, United Kingdom

    4 publications · 493 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Big Data & Society

    27 publications · 2.5K citations

    22

    h-index

  2. SSRN Electronic Journal

    Repository · 27 publications · 1.1K citations

    18

    h-index

  3. Journal of Medical Internet Research

    8 publications · 486 citations

    8

    h-index

  4. Ethics and Information Technology

    7 publications · 610 citations

    7

    h-index

  5. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 6 publications · 446 citations

    6

    h-index

1–5