摘要
通过对科学研究和技术应用的产出关联性和引用关联性分析,可以反映科学研究与技术应用间的相互扩散、转移及贡献程度,从而为合理地指导科学研究与技术应用资源配置和绩效评价提供依据。选取教育部自然科学类高校排名前3的国内理工类高校近30年(1985-2014年)的论文和专利产出、专利引用关系等7个数据变量共21种组合关系,采用关联性分析对现有的分析方法和指标进行修正,有效反映科学-技术在时间维度上的关联性。结果表明,关联性分析在实证研究中具有较好的适应性,其分析结果具有统计意义,能够消除突变噪声,为管理决策提供合理依据。
By analyzing output and correlation of citation activities between the scientific research and technology applications, it is expected to reflect the diffusion, conversion and contribution between the sci- entific research and technology application, and to provide data support for how to allocate the resources and evaluate performance of scientific research. The paper selects the top 3 Chinese universities in nature science, makes analysis on 7 variables in 30 years (1985--2014), draws abstract of 21 combinations of cor- relation between these variables, and modify the existing analytical methods based in indexes by using cor- relation analysis, in order to reflect the time efficiency of science and technology relevance effectively. The results show that correlation analysis is not only adaptable but also statistically significant in empirical re- search, while it is possible to eliminate noise mutation, and provide a reasonable basis for making decislons.
出处
《大学图书馆学报》
CSSCI
北大核心
2016年第5期38-45,共8页
Journal of Academic Libraries
基金
上海交通大学文科科研创新培育基金项目"高校图书馆战略情报服务模式与体系研究"(编号:12QN03)的研究成果之一
关键词
学科-技术关系
关联性分析
转化效率
Science-Technology Relationship
Correlation Analysis
Conversion Efficiency