Big Data Governance Needs More Collective Responsibility: The Role of Harm Mitigation in the Governance of Data Use in Medicine and Beyond.


Journal

Medical law review
ISSN: 1464-3790
Titre abrégé: Med Law Rev
Pays: England
ID NLM: 9308945

Informations de publication

Date de publication:
01 Feb 2020
Historique:
pubmed: 5 8 2019
medline: 27 10 2020
entrez: 5 8 2019
Statut: ppublish

Résumé

Harms arising from digital data use in the big data context are often systemic and cannot always be captured by linear cause and effect. Individual data subjects and third parties can bear the main downstream costs arising from increasingly complex forms of data uses-without being able to trace the exact data flows. Because current regulatory frameworks do not adequately address this situation, we propose a move towards harm mitigation tools to complement existing legal remedies. In this article, we make a normative and practical case for why individuals should be offered support in such contexts and how harm mitigation tools can achieve this. We put forward the idea of 'Harm Mitigation Bodies' (HMBs), which people could turn to when they feel they were harmed by data use but do not qualify for legal remedies, or where existing legal remedies do not address their specific circumstances. HMBs would help to obtain a better understanding of the nature, severity, and frequency of harms occurring from both lawful and unlawful data use, and they could also provide financial support in some cases. We set out the role and form of these HMBs for the first time in this article.

Identifiants

pubmed: 31377815
pii: 5543530
doi: 10.1093/medlaw/fwz016
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

155-182

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press.

Auteurs

Aisling McMahon (A)

Department of Law, Maynooth University, Maynooth, Ireland.

Alena Buyx (A)

Institute of History and Ethics in Medicine, School of Medicine, Technische Universität München, Munich, Germany.

Barbara Prainsack (B)

Department of Political Science, University of Vienna, Vienna, Austria; Department of Global Health & Social Medicine, King's College London, UK.

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Classifications MeSH