【Purpose/significance】 In the open science environment, clarifying the conceptual framework of scientific data governance

can help guide and improve governance practices, enhance the level of governance, optimize the allocation of data elements, deepen the value of data, and serve the development of data-intensive scientific research.【Method/process】This paper uses a systematic lit⁃erature review approach and content analysis to comprehensively access the literature at the intersection of scientific data governance and open science, construct a framework for literature analysis and coding, analyze the results, identify scientific data governance and related concepts accordingly, construct a conceptual framework for governance, and make research recommendations.【Result/conclu⁃sion】This research finds that the concepts of scientific data governance and management are different in terms of definition and prac⁃tice levels, but the same in terms of data service attributes, objectives and principles, and environmental trends. The study constructs a conceptual framework for scientific data governance from three dimensions: top-level design, implementation planning and practical application, explains the specific content of each dimension and the interaction with open science, and proposes three research per⁃spectives: strengthening guidance, enhancing applicability and achieving inclusiveness.【Innovation/limitation】A systematic literature review and content analysis are used to comprehensively and systematically review the research progress, distinguish and identify the confusing concepts of scientific data governance and management, and explain the concept, application scope and research focus of scientific data governance from multiple dimensions.