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.