映射之难——人文社科学科评价中跨库数据的学科归属问题  

Researches on the Disciplinary Attributes of Cross-Database Data in Humanities and Social Sciences Evaluation

作　　者：张蒂[1] 郝晋清[1] 王珺[1] ZHANG Di;HAO Jinqing;WANG Jun

机构地区：[1]南开大学图书馆

出　　处：《图书馆论坛》2023年第7期49-59,共11页Library Tribune

基　　金：天津市2021年度哲学社会科学规划重点委托项目“社会贡献多源异构数据的科研影响力分类评价方法与实践”(项目编号:TJTQ21-002)研究成果。

摘　　要：合理判别数据的学科归属是高校图书馆学科评价服务中亟待解决的重要问题,它直接影响评价数据的准确性和评价结果的合理性。文章聚焦人文社科学科评价中跨库数据的学科归属问题,应用案例研究法,考察南开大学图书馆在开展人文社科学科评价中,根据数据库特点及映射理论,在辨析学科分类体系的基础上,通过制定多维学科映射方案对来自CNKI、CSSCI和Web of Science等数据源的评价数据实现判别学科归属的实践过程。基于案例实践,剖析学科评价中跨库数据学科归属问题的本质、根本原因、解决途径及制约性因素,提出从理论探究到实践方法的应对策略。It is of great significance to identify the disciplinary attributes of data in disciplinary evaluation conducted by academic libraries,for it would directly affect the accuracy of the evaluation data as well as the rationality of the evaluation results.This paper focuses on the disciplinary attributes of cross-database data in humanities and social sciences evaluation,taking Nankai University Library’s practice for example.In detail,guided by the mapping theory and based on the analysis of the disciplinary classification system,Nankai University Library formulates a set of multi-dimensional disciplinary mapping schemes for CNKI,CSSCI and Web of Science databases,and uses them to identify the disciplinary attributes of the evaluation data.It then analyzes the essence,root causes,solutions and restrictive factors of the disciplinary attributes of cross-database data in disciplinary evaluation,and provides some strategies for the practitioners with to advance from theoretical research to practical exploration.

关 键 词：人文社科学科评价 学科归属判别 跨库数据 学科分类体系 

分 类 号：G353.1[文化科学—情报学] C1[社会学]