“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.”
刘晗, 李静, 张胜发, 曹跃琼, 杜政霖, 贾晓峰, 丁国徽
Corrected Proof
DOI:10.24920/004549
Abstract:生命科学已步入大数据时代,通过揭示人体生物系统的复杂性极大地推动了精准医学和科学健康的发展。遵循可发现、可访问、互操作、可重用(Findable, Accessible, Interoperable, and Reusable,FAIR)原则,整合学术界与产业界的人群生物数据资源将显著提升数据利用效率并催生创新突破。本文提出面向生命科学领域的新型数据治理框架,通过构建良好数据治理规范(Good Data Governance Practice,GDGP)与分级倡议,聚焦数据溯源性与开放性。该框架系统化界定治理边界约束、影响因素及功能维度,以提升数据治理与运营管理效能。此项成果为合规开展跨机构、跨境数据共享与协同处理奠定基础,有望为精准医学领域开展数据趋动的标准化、符合伦理且可扩展的研究铺平道路。
“A new review introduces research progress in the field of acute ischemic stroke. Experts have explored the dynamic processes underlying reperfusion injury and neurovascular unit disruption, emphasizing reversible changes within the penumbra and emerging imaging-guided approaches. This work lays a foundation for developing individualized neuroprotective strategies.”