数据驱动的学术评价理论框架研究  

Theoretical Framework of Data-Driven Academic Evaluation

作　　者：索传军[1] 于淼[2] 牌艳欣 戎军涛 Suo Chuanjun;Yu Miao;Pai Yanxin;Rong Juntao(School of Information Resource Management,Renmin University of China,Beijing 100872;Renmin University of China Libraries,Beijing 100872)

机构地区：[1]中国人民大学信息资源管理学院,北京100872 [2]中国人民大学图书馆,北京100872

出　　处：《图书情报工作》2024年第1期5-12,共8页Library and Information Service

基　　金：国家社会科学基金项目“数据驱动的学术评价范式研究”(项目编号:21BTQ008)研究成果之一。

摘　　要：[目的 /意义]破五唯是全社会关注的热门话题,也是当前学术评价活动中遇到的最大难题,“五唯”破除之后,依据什么开展学术评价是当前面临的最大问题。[过程/方法 ]借鉴数据驱动的思想和方法,首先对文献计量和同行评议发展的理论与方法困境及其产生的根源进行分析,然后,分析开展数据驱动学术评价的主要内容以及基于数据驱动学术评价需要解决的关键问题。[结果 /结论 ]最后,构建数据驱动的学术评价范式的理论框架,包括学术评价问题的定义、学术评价对象数据的采集、学术评价模型的构建以及数据分析和结果解释。[Purpose/Significance]Breaking the“five-only evaluation”is the biggest difficulty in the current academic evaluation activities,which has attracted great attention from the whole society.With the gradual weakening of the five indicators,the new basis in academic evaluation is the most important problem.[Method/Process]With the data-driven ideas and methods,we analyzed the theoretical and methodological difficulties in the development of bibliometrics and peer review,as well as the root causes of the difficulties.Then,we analyzed the main contents and the key problems of data-driven academic evaluation.[Result/Conclusion]Finally,we constructed the theoretical framework of data-driven academic evaluation paradigm.It concludes the definition of academic evaluation issues,the collection of data on academic evaluation objects,the construction of academic evaluation models and data analysis,and the interpretation of results.

关 键 词：数据驱动 学术评价范式 理论框架 同行评议 文献计量 

分 类 号：G251[文化科学—图书馆学]