摘要
[目的/意义]针对外文期刊数据库内容质量的双库与多库指标的量化,提出基于统一期刊空间的多库比较算法,实现任意多库之间的期刊识别和比对,提高这些指标的量化准确度。[方法/过程]在分析外文期刊数据库内容质量指标的内容及其复杂性的基础上,设计基于统一期刊空间的多库比较算法,并利用该算法计算出2018年DRAA中57个数据库的JCR刊数量和独有刊数量指标,作为算法有效性和准确性的验证。[结果/结论]作为各种电子资源评价指标系统的延伸研究,本研究能帮助图书馆优化自己的馆藏建设,使得外刊数据库的采购更加经济、合理。
[Purpose/significance]Aiming at the quantification of double-base and multi-base indicators of content quality of foreign journal database,a multi-base comparison algorithm based on unified journal space is proposed,which realizes the journal identification and comparison between arbitrary multi-bases,and improves the quantification accuracy of these indicators.[Method/process]On the basis of analyzing the content and complexity of the content quality indicators of foreign journal databases,this paper designed a multi-database comparison algorithm based on unified journal space,and used this algorithm to calculate the number of JCR journals and the number of unique journals of 57 databases in DRAA in 2018,as a verification of the validity and accuracy of the algorithm.[Result/conclusion]As an extension study of various electronic resource evaluation indicator systems,this study can help libraries optimize their collection construction and make the purchase of foreign journal databases more economical and reasonable.
作者
庄纪林
陈凌
姚晓霞
Zhuang Jilin;Chen Ling;Yao Xiaoxia(Peking University Library,Beijing 100871)
出处
《图书情报工作》
CSSCI
北大核心
2021年第2期54-64,共11页
Library and Information Service
基金
国家社会科学基金项目“数字图书馆资源与服务绩效影响因素及评价体系研究”(项目编号:16BTQ031)研究成果之一。
关键词
外文期刊
数据库评价
内容质量
指标量化
统一期刊空间
foreign journals
database evaluation
content quality
indicator quantification
unified journal space
