[目的/意义]厘清数据管理与数据治理的概念与概念关系，解决当前二者概念混淆与混用问题，为我国建立健全数据管理与数据治理的标准体系、推动国际标准采标及恰当应用相关标准提供参考，促进我国积极参与数字领域国际规则和标准制定。[方法/过程]采用文本内容分析方法，按照ISO 704:2022的概念构建原则，对ISO、IEC、ITU-T国际标准组织在线数据库中数据管理和数据治理的定义进行分析，从中识别出二者的概念对象、特征和关系类型并构建核心概念关系图，从概念对象、概念特征、概念关系和应用层次四个维度比较二者的概念异同。[结果/结论]数据管理涉及微观和中观层面，是包括数据处理、过程管理和价值化实现的综合活动；数据治理覆盖微观、中观和宏观层面，强调质量管理、权责界定、战略协同及政策制定；二者共同关注过程要素和数据价值化实现，呈关联关系。

[Purpose/significance] This study aims to clarify the concepts and concept relations between data manage⁃ment and data governance, address the current problems of confusion and misapplication of concepts and provide refer⁃ences for building and improving standard systems for data management and data governance in China, facilitating the adoption and appropriate application of international standards and promoting China's active participation in the formu⁃lation of international rules and standards in the digital field. [Method/process] This paper adopts the text content analysis method and analyzes the definitions of data management and data governance from online databases of ISO,IEC, and ITU-T, in accordance with principles of concept system building in ISO 704:2022. From these definitions, the concept objects, concept characteristics, and types of concept relations of data management and data governance are identified, respectively, and core concept relationship diagrams are constructed. The similarities and differences of con⁃
cepts between the two terms are compared across four dimensions: concept objects, concept characteristics, concept re⁃lations and application levels. [Result/conclusion] Data management involves micro and meso levels and encompasses comprehensive activities including data processing, processes management and value realization; data governance cov⁃ers micro, meso, and macro levels, emphasizing quality management, definition of rights and responsibilities, strategic coordination and policy formulation; both share common concerns about process elements and the realization of data value, presenting an associative relation.