[目的/意義]科學數據共享中數據連續性、準確性、可溯性、安全性面臨嚴峻挑戰,現有研究缺乏對科學數據共享管理功能模塊的原理、實現技術、模塊數據交互及模塊融合研究。[方法/過程]在梳理科學數據共享、數據監管、數據溯源研究進展基礎上,將數據監管、數據溯源融入科學數據共享管理過程,構建出科學數據共享管理模型,系統闡述了數據監管與數據溯源的融合運行機理,概括出保障科學數據共享管理模型有效實施的主體、制度、技術三方面因素體系。[結果/結論]將相對宏觀的數據監管過程與相對微觀的數據溯源技術融入科學數據共享生態環境,進一步完善了管理與技術相結合的科學數據共享過程。

[Purpose/significance] In the process of scientific data sharing,the continuity,accuracy,traceability and safety of data are faced with severe challenges. The existing studies lack the research of scientific data sharing management function module,realization technology,module data interaction and module fusion. [Method/process] On the basis of research progress of scientific data sharing,data curation and data provenance,the paper integrates data curation and data provenance into the scientific data sharing management process to construct the scientific data sharing management model. The operating mechanism of data curation and data provenance integration is systematically described,and the influencing factors of subject,system and technology of the effective implementation of the scientific data sharing governance model are summarized. [Result/conclusion] The macro level of scientific data governance process and the micro level of data provenance technology are integrated into scientific data sharing ecological process,which further improves the scientific data sharing process combining management and technology.