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[Purpose/Significance] With the rapid development of information technology and the arrival of the era of big data, big data has become a key production factor and a strategic fundamentally resource for a country. Big data governance has become an important way to fully release data value and realize the modernization of national governance system and governance capacity. This study reviews the related research on big data governance, in order to better play its positive role as a new production factor and a means of social governance. [Method/Process] On the basis of bibliometrics and content analysis, this study systematically reviews the relevant research on big data governance in China, and finds that the research on big data governance has been rising in recent years. The relevant research topics have also displayed characteristics such as wide diversity and multidisciplinary integration. The core topics involved in the research include big data governance, social governance, government governance, big data technology, data resources, network public opinion, risk governance, and data security. The research on the big data governance system of the whole process is the most critical part. [Results/Conclusions] This study classified the relevant research topics into three aspects: theoretical system, implementation evaluation and practical challenges. The big data governance system is a complex, multi-level and multi-dimensional systematic project, which consists of governance goals, governance subjects, governance objects and governance tools. Big data governance implementation and evaluation includes three stages: organizational planning, specific implementation, evaluation and optimization. The organizational planning stage includes formulating implementation guidelines and constructing governance organizations; the specific implementation stage includes metadata management, master data management, data quality and data security; the evaluation optimization phase includes big data governance maturity evaluation and big data governance audit. The practice of big data governance focuses on three aspects: the Chinese government actively uses big data to improve scientific decision-making ability, social management level and public service construction. The practical challenges are mainly reflected in the management and technical challenges faced by data-centered fields. As an open topic and dynamic process, big data governance is still mostly based on conceptual and descriptive qualitative analysis, and focuses on theoretical discussion and experience summary. There is still a lack of relevant case support and technology application research, and the design and implementation evaluation of the big data governance system still needs to be improved and optimized.