治理框架视域下的数据治理研究

目的/意义]数据治理是提升数据价值的基础,是数据时代的研究热点。对当前数据治理的研究成果进行系统梳理,有助于更好地促进数据治理的理论研究与电子信息资源管理等方面实践的开展。方法/过程] 运用文献分析法,以数据治理框架为分析视角,从治理目标、治理主体、治理客体、治理内容、治理过程、治理手段等6个维度系统分析了数据治理的研究进展。结果/结论]数据治理核心要素中,对治理目标、治理主体、治理手段的认识较为一致,对治理内容关键点的认识需要进一步统一,对治理客体的研究仍需细化。数据治理过程中,更好地区分数据管理和数据治理,明确数据治理定位,凸显数据治理重点与核心,是后续研究需要注意的问题。

Data Governance Research from the Perspective of Governance Framework

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.