科学数据共享研究的演化路径分析

The Evolutionary Path Analysis of Scientific Data Sharing Research

[研究目的]科学数据共享是推动科技创新的关键,对科学数据共享研究领域的文献产出情况、研究热点、知识基础以及演化历程进行探究和总结,为促进国内相关理论研究与实践发展提供参考。[研究方法]运用科学知识图谱法,对2001-2020年期间Web of Science核心数据库所收录的科学数据共享研究相关文献进行合作网络、关键词共现和文献共被引分析。[研究结论]研究发现,研究热点由早期科学数据共享技术、共享模式和科学数据共享平台研究扩展到当前数据共享政策、数据共享基础设施、长尾科学数据共享等问题研究。此外,科学数据共享研究领域早期主要受制度理论和计划行为理论的影响,现阶段主要受虚拟组织理论、数据生命周期理论和长尾理论的影响。

[Research purpose]Scientific data sharing is the key to promoting scientific and technological innovation.This paper explores the literature output,research hotspots,knowledge base and evolution of scientific data sharing in the research field of scientific data sharing,to provide a reference for promoting the development of relevant domestic theoretical research and practice.[Research method]The paper implements analyses of mapping knowledge domains based on the publication papers related to scientific data sharing in the Web of Science Core Database from 2001 to 2020 by cooperation network,keyword co-occurrence,and co-citation analysis.[Research conclusion]It is found that the research focus has expanded from the early research on scientific data sharing technology,sharing mode and scientific data sharing platform to the current research on data sharing policy,data sharing infrastructure,long tail scientific data sharing and so on.In addition,the research on scientific data sharing was mainly influenced by the institutional theory and theory of planned behavior in the early stage,and is mainly influenced by virtual organization theory,data life cycle theory and the long tail theory at present.