Research Hotspots and Cutting-Edge Discussions on Data Element Configuration: Analysis Based on Bibliometric Method and Knowledge Graph

In the era of digital economy, the strategic value of data as a key production factor has become increasingly prominent, and its efficient allocation has become a core issue driving economic growth and social governance innovation. This paper employs bibliometric analysis and knowledge mapping techniques to analyze literature from the Web of Science and CNKI databases, constructing a topic co-occurrence network, keyword evolution path, and author collaboration map. It systematically reviews the research trajectory and frontier trends in the field of data element allocation both domestically and internationally. The research findings are as follows: (1) data governance, data ownership confirmation, production factors, frontal crash reconstruction, and federal interagency are the current core focuses of research. (2) Data assetization, scenario-based configuration models, and digital economy governance systems are emerging as cutting-edge exploration directions. (3) the field is showing a trend of interdisciplinary integration, with a multitude of innovative achievements emerging in the intersection of economics, law, and computer science. This study provides theoretical references for policymakers to improve the market-oriented allocation system of data elements.