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Building a data sharing model for global genomic research.

Patricia Kosseim, Edward S Dove, Carman Baggaley

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    This summary is machine-generated.

    Global business data sharing models offer strategies for enhancing international genomic data exchange. A flexible, multilateral agreement with third-party oversight can balance privacy and the need for worldwide genomic data sharing.

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    Area of Science:

    • Genomics
    • Data Science
    • International Relations

    Background:

    • Transborder genomic data sharing is crucial for global research and business.
    • Existing data sharing models often struggle to balance privacy concerns with the need for accessibility.
    • Global business practices offer potential frameworks for improving genomic data exchange.

    Purpose of the Study:

    • To explore how global business data sharing models can inform strategies for transborder genomic data sharing.
    • To propose a framework for effectively balancing genomic data privacy with the imperative for global data access.

    Main Methods:

    • Analysis of existing data sharing models in global business.
    • Comparative assessment of privacy-preserving mechanisms.
    • Literature review on multilateral agreements and third-party assurance in data governance.

    Main Results:

    • Flexible, externally endorsed, multilateral arrangements are effective for data sharing.
    • Objective third-party assurance mechanisms can successfully mediate privacy and data access needs.
    • Insights from business data sharing can be adapted to the genomic data landscape.

    Conclusions:

    • A structured, multilateral approach supported by independent oversight is recommended for transborder genomic data sharing.
    • Implementing such a model can foster greater international collaboration in genomic research and application.
    • Balancing privacy and data utility is achievable through well-designed governance frameworks.