[目的/意义] 比较分析数据管理与数据治理差异与联系，为制定科学数据开放共享政策提供参考。[方法/过程] 运用比较分析法，解析数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域5个方面的异同，由此解析其对制定我国科学数据开放共享政策的启示。[结果/结论] 数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域上都有显著差异，但两者也有内在联系。数据治理是成功实施数据管理的关键。认清两者的关系有助于明晰目前我国科学数据管理政策的不足之处，为今后完善科学数据管理办法提供参考，从而规划与制定实用的科学数据开放共享细则。
[Purpose/significance] This paper compares and analyzes the differences and connections between data management and data governance, in order to provide references for the formulation of scientific data sharing policies.[Method/process] By using the comparative analysis method, this paper analyzed the similarities and differences between data management and data governance in five aspects:definition and meaning, functions, objectives, principles and focus areas, and then analyzed its enlightenment to the formulation of open sharing policies of scientific data in China.[Result/conclusion] There are significant differences between data management and data governance in terms of definition and meaning, functions, goals, principles and focus areas, but they are also intrinsically related. Data governance is the key to the successful implementation of data management. Understanding the relationship between them is helpful to clarify the deficiencies of current scientific data management policies in China, provide references for improving scientific data management methods in the future, and plan and formulate practical rules for the open sharing of scientific data.
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