[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.