数据是生命科学研究的基础性资源，研究生命科学数据管理的质量控制对推进科学数据管理和生命科学理论与研究方法创新具有重要的现实意义。基于生命周期理论，通过政策文本分析、案例比较和文献调研，系统梳理了不同主体在生命科学数据的管理计划、采集、组织、保存、共享利用不同阶段中的质量控制措施提出不同阶段生命科学数据质量控制的核心要求，构建了包括基础层、主体层、流程控制层三个层次的生命科学数据质量控制体系。

Data is a basic resource in life science research. The research of life science data management of quality control can advance scientific data management, and life science innovation theory and research method has important practical significance. Based on the life cycle theory, through policy text analysis, case comparison and literature research, this paper systematically sorts out the quality control measures of different subjects in different stages of life science data management planning, collection, organization, preservation, sharing and utilization. In this paper, the core requirements of life science data quality control at different stages are put forward, and the life science data quality control system at three levels is constructed, including the basic layer, the main layer and the process control layer.