摘要
探究科学基金项目与产出论文的相关性,有助于拓宽科学基金绩效评价的分析维度,对提高科学基金管理水平具有重要意义。本研究从内容相关性的角度出发,引入科学基金项目与产出论文目标一致性的概念,在此基础上提出了基于学科分类和文本主题的目标一致性识别方法,并以国家自然科学基金委员会(National Natural Science Foundation of China,NSFC)资助的项目为例,验证了该方法的科学性和有效性。研究发现,有大量的NSFC项目与其产出论文的目标一致程度较低,且不同目标一致性特征的NSFC项目在各维度上的分布有很大差异。其中,“低学科相似度-低文本相似度”项目在更具影响力的国家自然科学基金重点项目和国家杰出青年科学基金项目中占比更高。结果表明,本研究提出的目标一致性识别方法可以有效弥补单一视角的不足,实现对科学基金项目与产出论文目标一致性的多维度综合识别,为科学基金绩效评价提供了一个新的角度和解决思路。
Exploring the content relevance of funded projects and output papers can help broaden the analytical dimension of funding performance evaluation,which is significant for improving the level of funding management.Considering the content relevance of funded projects and papers,this study proposes a definition of objective consistency and develops a method to identify such consistency between funded projects and papers based on discipline and text.The projects funded by the National Natural Science Foundation of China(NSFC)were used to verify the effectiveness of the method.A large number of NSFC projects are found to have low objective consistency with their output papers,and there is a significant difference in the distribution of NSFC projects with different objective consistency characteristics across various aspects.The proportion of“low discipline similarity-low text similarity”projects is higher in the more influential projects of the Key Program and the National Science Fund for Distinguished Young Scholars.The results indicate that the objective con‐sistency identification method can effectively compensate for the deficiency of a single perspective and achieve a compre‐hensive multidimensional identification of objective consistency between funded projects and papers,thus providing a new perspective and approach for performance evaluation of the former.
作者
黄颖
虞逸飞
郑寅鑫
朱芸畅
张琳
Huang Ying;Yu Yifei;Zheng Yinxin;Zhu Yunchang;Zhang Lin(School of Information Management,Wuhan University,Wuhan 430072;Center for Science,Technology&Education Assessment(CSTEA),Wuhan University,Wuhan 430072;Centre for R&D Monitoring(ECOOM)and Department of MSI,KU Leuven,Leuven B-3000)
出处
《情报学报》
CSSCI
CSCD
北大核心
2023年第8期893-905,共13页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金面上项目“科研人员职业生涯的性别差异和影响机理研究:合作、流动与学术表现”(71974150)
国家自然科学基金青年科学基金项目“基于多源异构数据的新兴技术演化路径识别与预测研究”(72004169)。
