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国内图情领域数据治理研究的科学知识图谱分析

Scientific Knowledge Graph Analysis on Research of Data Governance in the Field of Library and Information Science in China

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【作者】 万昊闫丽李默孙江文

【Author】 Wan Hao;Yan Li;Li Mo;Sun Jiangwen;Library of Shandong University of Science and Technology;

【机构】 山东科技大学图书馆

【摘要】 [目的/意义]旨在全面把握图情领域数据治理的理论与实践前沿,构建系统化的认知框架,为相关政策制定、制度设计与战略规划实施提供有力的参照。[方法/过程]借助于CiteSpace与VOSviewer可视化工具,选择中国知网(CNKI)作为数据源,通过题录信息分析搭建领域研究框架、提取领域前沿热点、梳理领域发展演进。[结果/结论]我国图情领域数据治理研究文献呈现指数级增长趋势且可以被划分为两个阶段(2015—2019年与2020年至今),通过主题聚类归纳治理理论体系、治理技术体系、治理商业模式、治理实践方案和治理政策与法律法规5个主题,并对我国数据治理研究进行展望,为更好发挥“数据要素×”效用,推动国家治理体系现代化提供理论和实践参考。

【Abstract】 [Purpose/Significance] This paper aims to comprehensively grasp the theoretical and practical frontiers of data governance in the field of library and information science, construct a systematic cognitive framework, and provide a strong reference for relevant policy formulation, institutional design, and strategic planning implementation. [Method/Process] With the help of CiteSpace and VOSviewer visualization tools, the data source of this paper was CNKI. Through the analysis of the topic information, this paper built the research framework of the field, extracted the frontier hotspots of the field, and explored the development and evolution of the field.[Result/Conclusion] The research literature on data governance in the field of Library and Information Science in China shows an exponential growth trend and can be divided into two stages(2015-2019 and 2020 to now). Through topic clustering, five topics are summarized, including governance theory system, governance technology system, governance business model, governance practice plan, governance policies and laws, and regulations. Further prospects for the research on data governance in China are put forward, which provide theoretical and practical reference for better playing the role of "data element ×" and promoting the modernization of the national governance system.

【基金】 山东省社会科学规划一般项目“新质生产力视角下生成式人工智能赋能智慧图书馆建设路径研究”(项目编号:24CTQJ04);青岛市哲学社会科学规划年度课题“高校图书馆数智转型与‘未来学习中心’建设研究”(项目编号:QDSKL2401110)研究成果之一~~
  • 【文献出处】 知识管理论坛 ,Knowledge Management Forum , 编辑部邮箱 ,2025年05期
  • 【分类号】G353.1
  • 【下载频次】111
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