【摘要】 文章以中国知网数据库中数据要素研究文献为例，利用BERTopic模型系统解构国内数据要素的核心研究主题与研究方向。研究发现该领域在数据产权、数据交易、数据治理等微观主题上表现出由表及里的深化研究态势；整体研究趋势变化受政策和社会发展需求驱动特征明显，在“顶层设计—实施路径”的双向互动中形成了多层次分析框架；学科交叉属性显著，未来学者开展相关研究可采用跨学科式研究，整合多元方法论，推动数据要素领域研究向多维化、系统化方向深化发展。更多还原

【Abstract】 The article takes research literature on data elements from the China National Knowledge Infrastructure(CNKI)database as an example. It uses the BERTopic model to systematically deconstruct the core research themes and directions of domestic data elements. The study finds that this field shows a deepening trend from surface to core topics in micro-areas such as data property rights, data transactions, and data governance. The overall research trend is clearly driven by policy and social development needs, forming a multi-level analytical framework through the two-way interaction of “top-level design as well as implementation paths”. The interdisciplinary nature of the field is significant, and future scholars conducting related research can adopt interdisciplinary approaches, integrating diverse methodologies to promote the multidimensional and systematic development of research in the data elements domains.更多还原