科技计划项目数据管理过程模型

Data management process model for the science and technology programs

面向未来日益增多的各类科技计划项目和快速增长的科学数据资源,为了深入加强和规范科学数据管理,以项目周期为轴线,融合数据生命周期和数据管护理念,定义了项目周期内有序开展的7项数据活动,提出了适用于各类科技计划的科技计划项目数据管理过程模型。描述了项目各阶段内依序开展的数据产出分析与管理策划、数据产品定义、产品生产与处理、产品汇交与编目、开放与服务、评价与反馈、维护与保存7项数据活动的内容、输入与产出,并结合任务书签署、年度/中期检查、综合绩效评价等管理节点给出了数据活动产出控制措施。此外,提出了项目阶段与管理节点增设、数据活动拆分合并、产出内容与管理角色细化等模型实施建议,以提高对不同类型科技计划项目的适用性。

To strengthen and standardize scientific data management for the increasing number of science and technology programs and the dramatically growing scientific data resources in the future,seven data activities to be performed in an orderly manner within the program cycle were defined,based on the program cycle as the axis and integrating the data life cycle and data curation concepts.Consequently,a data management process model for science and technology programs applicable to all types of programs was proposed.The contents,the input and output of seven data activities were described,including data output analysis and management planning,data product definition,data product generation and processing,products archiving and cataloging,data open sharing and services,appraisal and comment,maintenance and preservation,which are performed sequentially within each phase of the program.The control measures of data activities output were also given such as document signing and review in accordance with the management nodes of mission statement signing,annual/mid-term inspection,and comprehensive performance evaluation.Furthermore,the suggestions of model implementation such as adding program phases and management nodes,separating and merging data activities,and elaborating output content and management roles were given to improve the applicability to different types of science and technology programs.