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
Parents
643
The CARE Principles for Indigenous Data Governance
Stephanie Russo Carroll, Ibrahim Garba, Óscar Luis Figueroa Rodríguez et al. · Data Science Journal · 2020 · 1.2K citations · Full text
Law, Data Science, Data Ethics +16
The accuracy, fairness, and limits of predicting recidivism
Julia Dressel, Hany Farid · Science Advances · 2018 · 1K citations · Full text
Zaheer Allam, Ayyoob Sharifi, Simon Elias Bibri et al. · Smart Cities · 2022 · 642 citations · Full text
1–5 of 643
1.5K
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795
University of Oxford
Oxford, United Kingdom
11 h-index
24 publications
3.4K citations

University of Edinburgh
Edinburgh, United Kingdom
11 h-index
14 publications
462 citations
New York University
New York, United States
10 h-index
10 publications
2.5K citations
University of California, Berkeley
Berkeley, United States
8 h-index
11 publications
928 citations

University of Manchester
Manchester, United Kingdom
8 h-index
10 publications
852 citations
Stanford University
Stanford, United States
8 h-index
16 publications
2.1K citations
ETH Zurich
Zurich, Switzerland
8 h-index
16 publications
2.2K citations
National University of Singapore
Singapore, Singapore
8 h-index
16 publications
1.6K citations
1–8 of 795
27 publications · 2.5K citations
22
h-index
Repository · 27 publications · 1.1K citations
18
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8 publications · 486 citations
8
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7 publications · 610 citations
7
h-index
Repository · 6 publications · 446 citations
6
h-index
1–5