多主体数据价值共创:热点、演进与展望——基于CiteSpace的知识图谱分析  

Multi-Agent Data Value Collaboration:Hotspots,Evolution and Prospects——Knowledge Graph Analysis based on CiteSpace

作　　者：侯军利 王春燕 Hou Junli;Wang Chunyan(College of Management,Shenyang Normal University,Shenyang Liaoning 110034)

机构地区：[1]沈阳师范大学管理学院,辽宁沈阳110034

出　　处：《沈阳师范大学学报(社会科学版)》2025年第3期66-73,共8页Journal of Shenyang Normal University(Social Science Edition)

基　　金：教育部人文社会科学研究青年基金项目(20YJC790041);国家社会科学基金一般项目(24BGL231);辽宁省社会科学规划基金一般项目(L21BJY044)。

摘　　要：跨产业、跨部门间高效的数据协同机制能够深度挖掘海量数据的潜在价值,促进新质生产力的发展。然而在数据价值创造的过程中,由于多主体间数据隐私安全、数据使用规则不明确等原因会产生数据不共享、数据孤岛现象,影响数据价值释放,因此,有必要从创新生态系统视角对多主体数据协作的关键要素进行归纳和总结。国内现有研究聚焦于政府数据治理能力、治理效率及国家治理能力的现代化,以此为基础归纳出数据创新生态系统多主体数据协作的理论研究框架,包括数据源类型、数据协作主体及多主体间数据互动行为,将有利于政府、企业及社会公众之间协同合作,实现数据价值共创。An efficient data collaboration mechanism across industries and departments can deeply explore the potential value of massive data and promote the development of new quality productivity.However,in the pro-cess of data value creation,due to unclear data privacy and security among multiple subjects and data usage rules,phenomena such as data non-sharing and data silos may occur,affecting the release of data value.Therefore,it is necessary to summarize and conclude the key elements of multi-subject data collaboration from the perspective of the innovation ecosystem.Existing domestic research focuses on the modernization of government data governance capacity,governance efficiency and national governance capacity.Based on this,a theoretical research framework for multi-agent data collaboration in the data innovation ecosystem has been summarized,including data source types,data collaboration subjects and data interaction behaviors among multiple subjects.This will be conducive to collaborative cooperation among the government,enterprises and the public to realize the collaboration of data value.

关 键 词：数据协作 创新生态系统 数据共享 多主体互动 文献计量学 

分 类 号：D630[政治法律—政治学]