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中国985高校电子数据库科研效率评价研究——基于DEA分析方法
引用本文:赵蓉英,王建品.中国985高校电子数据库科研效率评价研究——基于DEA分析方法[J].重庆大学学报(社会科学版),2017,23(5):64-72.
作者姓名:赵蓉英  王建品
作者单位:武汉大学 中国科学评价研究中心,湖北 武汉 430072;武汉大学 信息管理学院,湖北 武汉 430072
基金项目:国家社会科学基金项目"中国学者国际学术论文影响力评价研究"(16BTQ055)
摘    要:文章采用数据包络分析(DEA)C2R模型,选取电子数据库数量、教授及正高职人员数量为投入指标,被SCOPUS收录的文献数量为产出指标,对中国985高校电子数据库用于科研的效率进行评价.结果表明,在科学产出方面,大部分样本学校的电子数据库未得到有效利用.为此,提出以下政策建议:提升图书馆科研支持服务水平,加快促进高校图书馆联盟服务价值的发挥,加强开放获取资源的使用,科学研究激励政策的改革.

关 键 词:数据包络分析  电子数据库  效率  高校  文献计量学
收稿时间:2017/4/16 0:00:00

The research on evaluation of the online databases' scientific research efficiency in Chinese Project 985 universities based on DEA
ZHAO Rongying and WANG Jianpin.The research on evaluation of the online databases'' scientific research efficiency in Chinese Project 985 universities based on DEA[J].Journal of Chongqing University(Social Sciences Edition),2017,23(5):64-72.
Authors:ZHAO Rongying and WANG Jianpin
Institution:Research Center for China Science Evaluation, Wuhan University, Wuhan 430072, P. R. China;School of Information Management, Wuhan University, Wuhan 430072, P. R. China and Research Center for China Science Evaluation, Wuhan University, Wuhan 430072, P. R. China;School of Information Management, Wuhan University, Wuhan 430072, P. R. China
Abstract:This paper presented an assessment of the efficiency of online database used for scientific production in Chinese Project 985 universities in 2015.The methodology used was the Data Envelopment Analysis (DEA).The number of databases and the number of professors were used as input indicators.The number of scientific publications indexed in Scopus was used as output indicators.The study found that the use of databases to produce scientific publications was inefficient in most of the universities analyzed.The policy recommendations are:enhancing the level of research support service of the libraries, speeding up to promote the university library alliance to play their service value, strengthening the use of open access resources, adjusting policies of incentives for scientific research.
Keywords:DEA  database  efficiency  universities  bibliometrics
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