摘要
[目的/意义]近年来中央及各部委积极推行学术评价改革,明确倡导代表作评价。但代表作评价方法研究相对滞后,方法体系不成熟,阻碍了代表作评价制度的实施。文章对代表作评价方法进行梳理,为建立科学客观的代表作评价方法体系提供参考。[方法/过程]分析作者自评、同行评议和第三方机构定量评价的特点和作用;重点梳理外部特征指标、引文分析、替代计量、机器学习等基于定量数据和客观证据的评价方法。[结果/结论]同行评议是代表作评价的核心,基于定量数据和客观证据的评价方法能辅助同行评议,提高评价的客观性和公正性。未来研究中,应加强定量评价、“代表性”评价和分类评价方法研究。
[Purpose/significance]In recent years,the central government and various ministries and commissions have actively promoted academic evaluation reforms,and clearly advocated representative evaluations.However,the relatively lagging research on representative works evaluation methods and the immature method system hinder the implementation of the representative works evaluation system.This article sorts out the relevant methods of representative works evaluation and provide a reference for the establishment of a scientific and objective evaluation method system of representative works.[Method/process]Analyze the characteristics and functions of author’s self-evaluation,peer review,and evaluation by information service agencies;especially review representative evaluation methods based on quantitative data and objective evidence,such as external characteristic indicators,citation analysis,alternative measurement,and machine learning.[Result/conclusion]Peer review is the core of representative evaluation.Evaluation methods based on quantitative data and objective evidence can assist peer review and improve the objectivity and impartiality of evaluation.In the future research,quantitative evaluation,“representation”evaluation,and classification evaluation methods should be strengthened.
出处
《情报理论与实践》
CSSCI
北大核心
2021年第12期190-196,共7页
Information Studies:Theory & Application
基金
中国科学院文献情报能力建设专项知识资源中心体系建设项目“脆弱生态治理与修复领域知识资源中心与服务体系建设”的成果,项目编号:E0290202。
关键词
代表作
学术评价
评价方法
定量评价
述评
representative works
academic evaluation
evaluation method
quantitative evaluation
review
