Data Governance Research from the Perspective of Governance Framework
2020
ZHOU Zhenguo
[Purpose / Significance] As the basis of improving data value, data governance is a research hotspot in the data age. The systematic review of the current research into data governance will help to promote the theoretical research and the practice of electronic information resource management. [Method / Process] Using the methods of literature analysis, the paper systematically analyzes the research progress of data governance from six dimensions: the goal, the subject, the object, the content, process and means of data governance. [Results / Conclusions] Among the core elements of data governance, researchers have the consistent understanding of the goal, the subject and the means of data governance, while their understanding of the key points of the content of data governance needs to be further unified. The research into the object of data governance needs to be specified. In the future research into data governance, researchers should further distinguish between data management and data governance, clarify the positioning of data governance, and place an emphasis on the focus and core content of data governance.
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