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This summary is machine-generated.

Genomic data sharing faces legal and ethical challenges. The Seven-Dimensional Data Visiting Framework (7D-DVF) offers a structured approach to govern data visiting, balancing privacy, utility, and compliance for secure global research.

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Area of Science:

  • Genomics and Bioinformatics
  • Data Governance and Privacy
  • Legal and Ethical Frameworks in Research

Background:

  • Global genomic research expansion faces increasing legal and ethical hurdles in data sharing.
  • Traditional data sharing models are challenged by data localization laws and privacy concerns.
  • Data visiting, where analysis occurs locally without data transfer, is a promising but underdeveloped alternative.

Purpose of the Study:

  • Introduce the Seven-Dimensional Data Visiting Framework (7D-DVF) as a structured tool for genomic data visiting.
  • Provide a method for designing, assessing, and regulating data visiting systems.
  • Facilitate secure, lawful, and compliant genomic data sharing practices.

Main Methods:

  • Developed the 7D-DVF based on the Global Alliance for Genomics and Health (GA4GH) data sharing lexicon.
  • Disaggregated data visiting into seven adjustable dimensions: researcher autonomy, data location, data visibility, nature of shared data, output governance, trust and control model, and auditability/traceability.
  • Utilized checklists and real-world scenarios for practical implementation guidance.

Main Results:

  • The 7D-DVF provides a structured approach to govern data visiting systems in genomics.
  • Each dimension acts as a governance lever for proportional, context-sensitive configurations.
  • The framework supports balancing privacy, data utility, and legal compliance.
  • Demonstrated application in institutional data control, Indigenous data sovereignty, and federated AI training.

Conclusions:

  • The 7D-DVF shifts genomic data governance from reactive compliance to proactive, design-based stewardship.
  • Enables stakeholders to operationalize secure, lawful, and future-ready data sharing.
  • Offers a practical solution for navigating complex legal and ethical landscapes in genomic data sharing.