国外科学数据管理研究量化分析

A Quantitative Analysis on Foreign Scientific Data Management Research

本文以与1976-2015年SCI、SSCI、A&HCI和CPCI数据库科学数据管理相关的2809篇研究性论文作为数据源,采用文献计量学、关键词共现分析方法,以CiteSpace为工具,对国外科学数据管理研究进行定量与可视化分析。以此从时间维度上全景扫描国外科学数据管理概貌、总结其断代具象特征,并识别其研究热点,即面向不同学科的科学数据管理;科学数据管理方法与技术;本体、语义网和元数据在科学数据管理中的应用;高校和研究机构图书馆科学数据管理服务。最后从数据管理标准与数据知识产权的融合、多层级数据管理政策体系制定与整合、数据管理专家的培养等方面提出对我国相关研究的建议。

Taking 2809 articles about scientific data management in SCI, SSCI, A＆.HCI and CPCI database from 1976 to 2015 as the data source, this paper makes quantification and visualization analysis on the research situation of foreign scientific data management by bibliometrics and co-word a nalysis methods and Cite Space. The overall perspective and stages features of foreign scientific data management research are described. It distinguishes the research hotpots： scientific data rnanagemem for different subjects; methods and technology; the application of ontology, semantic web and metada- ta; and scientific data management services of university libraries. At last, this paper puts forward some research advices such as the integration of data management standard and intellectual property; the development and integration of a multi-level data management policy; and the cuhivation of data management experts.