数据资产价值评估研究现状与趋势——基于CiteSpace的知识图谱分析

Research Status and Trends of Data Asset Value Assessment—Based on Knowledge Graph Analysis Using CiteSpace

摘要: 本文以中国知网核心期刊收录的952份有关数据资产价值评估的文献为研究对象，并借助CiteSpace可视化文献分析软件对其进行了可视化图谱分析，研究表明：1) 研究热点主要集中在数据资产概念阐述、数据资产价值评估、数据资产管理等内容上。2) 研究前沿趋势主要体现在大数据、数据管理、资产评估等方面。对此本文提出有关建议：1) 加强跨机构交流合作研究数据资产价值评估方法。2) 推动技术集成和创新提升数据资产管理能力。3) 加强数据安全和隐私保护。

Abstract: This study focuses on 952 pieces of literature related to data asset value assessment, which are included in the core journals of CNKI (China National Knowledge Infrastructure). Utilizing the Citespace visualization literature analysis software, a visual mapping analysis was conducted. The research indicates: 1) The main research hotspots are concentrated on the conceptual elucidation of data assets, value assessment of data assets, and data asset management. 2) The forefront trends in research are primarily reflected in big data, data management, and asset evaluation. In response, this article proposes several recommendations: 1) Strengthen inter-agency collaborative research on data asset value assessment methods. 2) Promote technological integration and innovation to enhance data asset management capabilities. 3) Strengthen data security and privacy protection.