Analysis of Research Hotspots and Development Trends of Data Elements in China—Based on Knowledge Graph Analysis of CiteSpace

在建设“数字中国”的战略背景下，数据要素已成为我国经济增长的新动能。系统梳理国内数据要素研究进展，对完善数据基础制度具有重要意义。因此，本文基于CNKI和CSSCI数据库中2019~2024年文献，运用CiteSpace对作者、机构、关键词等要素进行共现分析、聚类分析和突现词检测，绘制知识图谱，进而分析我国数据要素的研究热点与发展趋势，为后续的研究提供思路和建议。Against the strategic background of building a “Digital China”, data elements have become a new driving force for China’s economic growth. Systematically sorting out the research progress of domestic data elements is of great significance for improving the data basic system. Based on the literature from CNKI and CSSCI databases from 2019 to 2024, CiteSpace is used to carry out co-occurrence analysis, cluster analysis and burst word detection on elements such as authors, institutions and keywords, draw knowledge maps, and then analyze the research hotspots and development trends of data elements in China, so as to provide ideas and suggestions for follow-up research.