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The international data governance landscape.

Alexander Bernier1, Fruzsina Molnár-Gábor2,3, Bartha Maria Knoppers4

  • 1Department of Human Genetics, McGill University Faculty of Medicine, Centre of Genomics and Policy, Montreal, Canada.

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Summary
This summary is machine-generated.

Decentralized health consortia need scalable solutions to navigate complex, localized data protection laws for cross-jurisdictional biomedical big data research. This involves aligning ethics and data practices with evolving legal norms using co-regulation and design approaches.

Keywords:
International data sharingbig databiomedical data commonsbiomedical ethicsdata protection lawhealth research policy

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Area of Science:

  • Digital health
  • Biomedical big data research
  • Health law and ethics

Background:

  • Digital health adoption fuels reliance on large-scale biomedical data for research.
  • International research collaborations face challenges due to increasingly complex and localized national data protection legislation.
  • Decentralized health consortia require robust strategies for managing cross-jurisdictional data flows.

Purpose of the Study:

  • To propose organizational and technological arrangements for health consortia to manage heterogeneous legal requirements.
  • To enable health sector organizations to align data protection practices with evolving legal norms.
  • To facilitate scalable data flows across jurisdictional boundaries in biomedical research.

Main Methods:

  • Review and synthesis of public law co-regulation principles.
  • Analysis of private law tools for data governance.
  • Exploration of design-oriented approaches for technological solutions.
  • Examination of ethical process alignment with data protection norms.

Main Results:

  • Development of a framework for aligning biomedical ethics and data analysis with shifting data protection regulations.
  • Identification of scalable organizational and technological strategies for decentralized health consortia.
  • Proposals for integrating public and private law mechanisms with design principles.

Conclusions:

  • Health sector organizations can adapt to complex data protection landscapes through a multi-faceted approach.
  • Co-regulation, private law tools, and design-oriented strategies are crucial for enabling cross-jurisdictional data flows.
  • Proactive alignment of practices with legal norms is essential for the future of biomedical big data research.