数字化转型背景下我国数据要素研究现状、热点与前沿趋势——基于CiteSpace的文献计量分析

Research Status, Hotspots and Frontier Trends of Data Elements in China under the Background of Digital Transformation—A Bibliometric Analysis Based on CiteSpace

摘要: 在全球数字化转型的背景下，数据作为新型生产要素，正逐渐成为推动经济和社会发展的核心动力。本文基于CiteSpace工具对中国知网(CNKI) 2015年至2024年收录的相关文献进行了计量和可视化分析，研究内容包括发文数量的时间分布、核心作者及合作网络、研究机构及主要发文期刊，并通过关键词词频、聚类和突现词分析深入挖掘研究热点和演进规律。结果显示，2016~2024年我国数据要素研究经历了萌芽、快速增长、加速扩展和高峰稳定四个阶段。尽管已形成核心研究团队，但合作紧密度较低。发文量最多的机构是中国人民大学信息资源管理学院，主要发文期刊为《电子政务》《中国金融》和《价格理论与实践》。研究热点集中于数据治理、数据权益保护和数据赋能经济发展，前沿趋势经历了从“数据治理”到“数据监管”的演变。未来应针对合作松散、学科协同不足等问题，通过核心机构牵头搭建合作平台、建立跨学科研究机制等路径优化研究生态，推动“产学研用”深度融合，进一步促进数据要素在数字经济中的应用与发展。

Abstract: Against the backdrop of global digital transformation, data, as a new type of production factor, is gradually becoming a core driver of economic and social development. This study uses the CiteSpace tool to conduct a bibliometric and visualization analysis of relevant literature collected from the China National Knowledge Infrastructure (CNKI) database from 2015 to 2024. The research content includes the time distribution of published articles, core authors and their collaboration networks, research institutions, and major journals, as well as an in-depth exploration of research hotspots and evolution patterns through keyword frequency, clustering, and burst analysis. The results indicate that from 2016 to 2024, data elements research in China has undergone four main stages: initiation, rapid growth, accelerated expansion, and stable peak. Although a core research team has formed, the level of collaboration remains low. The institution with the highest number of publications is the School of Information Resource Management at Renmin University of China, while the major journals are “E-Government”, “China Finance”, and “Price Theory and Practice”. Research hotspots focus on data governance, data rights protection, and data-driven economic growth, with frontier trends evolving from “data governance” to “data regulation”. In the future, to address issues such as loose cooperation and insufficient interdisciplinary collaboration, the research ecosystem should be optimized through paths such as core institutions leading the construction of cooperation platforms and establishing interdisciplinary research mechanisms, thereby promoting the in-depth integration of production, learning, research, and application, and further enhancing the application and development of data elements in the digital economy.