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The international data governance landscape

As the adoption of digital health accelerates health research increasingly relies on large quantities of biomedical data. Research institutions scattered across a large number of jurisdictions collaborate in producing and analyzing biomedical big data. National data protection legislation, for its p...

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Detalles Bibliográficos
Autores principales: Bernier, Alexander, Molnár-Gábor, Fruzsina, Knoppers, Bartha Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977111/
https://www.ncbi.nlm.nih.gov/pubmed/35382430
http://dx.doi.org/10.1093/jlb/lsac005
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author Bernier, Alexander
Molnár-Gábor, Fruzsina
Knoppers, Bartha Maria
author_facet Bernier, Alexander
Molnár-Gábor, Fruzsina
Knoppers, Bartha Maria
author_sort Bernier, Alexander
collection PubMed
description As the adoption of digital health accelerates health research increasingly relies on large quantities of biomedical data. Research institutions scattered across a large number of jurisdictions collaborate in producing and analyzing biomedical big data. National data protection legislation, for its part, grows increasingly complex and localized. To respond to heterogeneous legal requirements arising in numerous jurisdictions, decentralized health consortia must develop scalable organizational and 6 technological arrangements that enable data flows across jurisdictional boundaries. In this article, proposals are made to enable health sector organisations to align established biomedical ethics process and data analysis practices to shifting data protection norms through both public law co-regulation, private law tools, and design-oriented approaches.
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spelling pubmed-89771112022-04-04 The international data governance landscape Bernier, Alexander Molnár-Gábor, Fruzsina Knoppers, Bartha Maria J Law Biosci Original Article As the adoption of digital health accelerates health research increasingly relies on large quantities of biomedical data. Research institutions scattered across a large number of jurisdictions collaborate in producing and analyzing biomedical big data. National data protection legislation, for its part, grows increasingly complex and localized. To respond to heterogeneous legal requirements arising in numerous jurisdictions, decentralized health consortia must develop scalable organizational and 6 technological arrangements that enable data flows across jurisdictional boundaries. In this article, proposals are made to enable health sector organisations to align established biomedical ethics process and data analysis practices to shifting data protection norms through both public law co-regulation, private law tools, and design-oriented approaches. Oxford University Press 2022-04-04 /pmc/articles/PMC8977111/ /pubmed/35382430 http://dx.doi.org/10.1093/jlb/lsac005 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Duke University School of Law, Harvard Law School, Oxford University Press, and Stanford Law School. https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Bernier, Alexander
Molnár-Gábor, Fruzsina
Knoppers, Bartha Maria
The international data governance landscape
title The international data governance landscape
title_full The international data governance landscape
title_fullStr The international data governance landscape
title_full_unstemmed The international data governance landscape
title_short The international data governance landscape
title_sort international data governance landscape
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977111/
https://www.ncbi.nlm.nih.gov/pubmed/35382430
http://dx.doi.org/10.1093/jlb/lsac005
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