文章摘要
刘桂锋,言怡,刘琼,韩牧哲.我国数据要素研究的文献计量与可视化[J].情报工程,2024,10(4):114-127
我国数据要素研究的文献计量与可视化
Research and Analysis of Domestic Data Elements Based on Knowledge Graph
  
DOI:10.3772/j.issn.2095-915X.2024.04.011
中文关键词: 数据要素;数据科学;数据管理;大数据;信息可视化
英文关键词: Data Elements; Data Science; Data Management; Big Data; Information Visulization
基金项目:国家社会科学基金一般项目“科学数据融合模式设计与体系建构研究”(21BTQ080)。
作者单位
刘桂锋 1. 江苏大学科技信息研究所 镇江 212013
2. 江苏大学图书馆 镇江 212013 
言怡 江苏大学科技信息研究所 镇江 212013 
刘琼 江苏大学图书馆 镇江 212013 
韩牧哲 江苏大学科技信息研究所 镇江 212013 
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中文摘要:
      [目的/意义]数据要素作为关键生产要素,对于推动我国经济社会发展具有重要意义。通过对数据要素研究的可视化分析,旨在为政策制定者、企业管理者和学者提供有关数据要素研究的全面认识,以期为数据要素的发展和应用提供智力支持。[方法/过程]选择了中国知网(CNKI)数据库作为主要的文献检索平台,以“数据要素”“数据要素市场”“数据生产要素”“数据交易”为关键词进行检索。在获取相关文献后,对相关文献的年度发文量趋势、作者和机构的发文分布情况等进行了分析。此外,通过VOSviewer软件绘制了图谱,以直观地展现研究领域的研究主题和演变趋势。[结果/结论]研究发现,数据要素研究在我国已经取得了丰硕的成果,发文量逐年上升,研究热度不断攀升。数据要素研究涉及多个学科,如经济学、法学和管理学等,研究方法日趋多样化。根据关键词共现分析和关键词时区图分析,数据要素和数字经济是研究的核心概念,研究不仅丰富了理论框架,还对实践应用产生了影响,为政策制定和行业实践提供了重要的指导和支持。
英文摘要:
      [Purpose/Significance] As a key production factor, data factor plays an important role in promoting China’s economic and social development. This paper aims to provide a comprehensive understanding of data factor research for policy makers, enterprise managers and scholars through visual analysis of data factor research, in order to provide intellectual support for the development and application of data factor research. [Methods/Processes] In this paper, CNKI database is selected as the main literature retrieval platform, and the keywords “data elements” “data elements market” “data production factors” and “data transaction” are used for searching. After obtaining the relevant literature, the annual publication trend of the relevant literature and the distribution of the authors and institutions were analyzed. In addition, the VOSviewer software is used to draw maps to visually show the research themes and evolving trends in the research field. [Results/Conclusions] It is found that the research on data elements has achieved fruitful results in China, the number of papers is increasing year by year, and the research heat is rising. The research of data elements involves many disciplines, such as economics, law and management, and the research methods are increasingly diversified. According to keyword co-occurrence analysis and keyword time zone graph analysis, data elements and digital economy are the core concepts of the research, which not only enriches the theoretical framework, but also has an impact on practical application, providing important guidance and support for policy making and industry practice.
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