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Good Data Governance Practice and a Grading Initiative for Life Sciences Data
Chinese Medical Sciences Journal   Pages: 1-8(2026)
Updated:2026-03-30
    • Good Data Governance Practice and a Grading Initiative for Life Sciences Data

    • Life sciences have entered the era of big data, uncovering the complexity of human biological systems and advancing precision medicine and scientific wellness. Here, we introduce a novel framework for Good Data Governance Practice (GDGP) coupled with a grading initiative for the life sciences, focusing on traceability and openness. The GDGP framework systematically defines governance constraints, influencing factors, and functional capabilities to streamline data governance and management efficiency. This achievement lays the groundwork for compliant cross-institutional and cross-border data sharing and collaborative processing, poised to pave the way for standardized, ethical, and scalable data-driven research in precision medicine and beyond.
    • DOI:10.24920/004549    

      CLC:
    • Received:18 November 2025

      Accepted:15 February 2026

      Online First:30 March 2026

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  • Liu Han,Li Jing,Zhang Sheng-Fa,et al.Good Data Governance Practice and a Grading Initiative for Life Sciences Data[J].Chinese Medical Sciences Journal, DOI:.

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