生命科学数据管理是推进生物技术创新和医疗健康水平提升的重要基础与关键要素，从责任主体驱动机制与数据行为角度展开分析能够为完善生命科学数据管理提供实践指导和理论启发。基于利益相关者理论和科学数据管理框架，运用文献调研法和网络调查法、案例分析法，归纳和分析不同责任主体的生命科学数据管理行为。生命科学数据管理的责任体系多元复杂、价值诉求与数据管理方式多样，只有激发研究人员、资助方、期刊出版方、数据仓储/平台、学术共同体多主体数据管理参与热情，形成协同管理模式才能够营造高效的生命科学数据管理生态体系。

Life science data management is the key foundation and factor at the promotion of biotechnology innovation and medical level. It will provide practical guidance and theoretical inspiration for the improvement of life science data management by the perspective of responsibility-driven mechanism and data behavior analysis. Based on stakeholder theory and science data management framework, the author sorted out life science data management behaviors of different responsible entities by the methods of using literature research, network investigation and case analysis. There are multiple entities, value needs and various management methods in the complicated process of life science data management, and the efficient ecosystem of life science data management should be built through stimulating the enthusiasm of multi-entities' participation and forming a collaborative management model.