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作 者:韩秀兰[1,2] 崔梦韬 李宝瑜[1,2] Han Xiulan;Cui Mengtao;Li Baoyu(School of Statistics,Shanxi University of Finance and Economics,Taiyuan 030006,China;Research Institute of Statistics,Shanxi University of Finance and Economics,Taiyuan 030006,China)
机构地区:[1]山西财经大学统计学院,太原030006 [2]山西财经大学统计研究院,太原030006
出 处:《统计与决策》2024年第12期18-23,共6页Statistics & Decision
基 金:国家社会科学基金重大项目(20&ZD135)。
摘 要:为了解数据资产领域的研究现状,探索其研究热点和前沿,文章使用CiteSpace软件,从发文时间、作者、机构以及关键词等角度对数据资产领域进行可视化分析,研究对象为2004—2021年CNKI数据库中的中文相关文献。研究发现:随着社会的发展,对“数据资产”这一主题的关注度逐渐提高,但该领域的研究仍处于初级阶段,研究体系还不够成熟,该领域具有一定的研究前景。在该领域中,发文机构合作和作者合作已成为常态,但机构合作多局限于同一地区,而发文作者在机构内部和机构外部均有合作。关键词的聚类结果反映出数据资产化和数据治理及应用研究是该领域当前的热点。关键词突变分析结果表明,数据资产的定义、核算范围、估价方式以及管理成为研究重点,然而数据资产定义不一、确权困难、划分范围不明确以及估价方式繁多等问题为数据资产的研究带来困难。In order to understand the research status of the field of data assets and explore the research focus and frontier in this field,this paper uses CiteSpace software to visually analyze the field of data assets from the perspectives of document issuing time,author,organization and keywords.The research object is the relevant Chinese literature in CNKI database from 2004 to 2021.The research findings are shown as following:With the development of society,the theme of“data assets”has gradually attracted more and more attention,but the research in this field is still in the primary stage;the research system is not mature enough,and this field has a certain research prospect.In this field,the cooperation between sending institutions and between authors has become the norm,but most of the cooperation between institutions is limited to the same region,and the authors cooperate both inside and outside the institution.The clustering results of keywords reflect that data capitalization and data governance and application research are the current hot spots in this field.The results of keyword mutation analysis show that the definition,accounting scope,valuation method and management of data assets have become the research focus.However,the different definitions of data assets,the difficulty of confirming rights,the unclear scope of division and various valuation methods have brought difficulties to the research of data assets.
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