摘要
[目的/意义]基于对国内外图书情报学领域期刊论文中的数据引用现状及其特征的深入调查和对比分析,探讨内容差异形成的主要原因,旨在为国内数据引用的规范化发展提供理论参考。[方法/过程]文章以国内外图书情报学领域6种期刊2017—2021年第1期的所有期刊论文为研究样本,综合运用内容分析法、统计分析法以及对比分析法对其引用数据类型、引用呈现形式、被引用数据功能、数据引用方式等特征进行研究。[结果/结论]结果显示:国内对数据引用的重视程度有待提高;国内外引用数据功能差异明显;学科研究特点影响数据引用内容;数据引用标注方式规范程度不足。对此,可以得到国内数据引用的发展启示:推进引用数据与文献内容的深度关联,建立科学数据管理平台,规范数据引用行为。
[Purpose/significance]Based on the in-depth investigation and comparative analysis of the data citation status and characteristics of journal papers in the field of Library and Information Science at home and abroad,and discuss the main reasons for the formation of content differences,in order to provide a theoretical basis for the standardized development of domestic data citations refer to.[Method/process]The article takes all the journal papers in the first issue of six domestic and foreign journals in the field of Library and Information Science from 2017 to 2021 as research samples,and comprehensively uses the content analysis method,statistical analysis method and comparative analysis method to study the characteristics of the type of citation,the form of citation presentation,the function of the cited data,and the data citation method.[Result/conclusion]The results show that the importance attached to data citations in China needs to be improved;the functions of citation data at home and abroad are obviously different;the characteristics of discipline research affect the content of data citations;and the degree of standardization of data citation labeling methods is insufficient.In this regard,we can get the development inspiration of domestic data citation:promote the deep correlation between citation data and literature content;establish a scientific data management platform;and standardize data citation behavior.
出处
《情报理论与实践》
CSSCI
北大核心
2022年第9期44-50,36,共8页
Information Studies:Theory & Application
基金
国家社会科学基金重大项目“基于大数据的科教评价信息云平台构建和智能服务研究”的成果,项目编号:19ZDA348。
关键词
图书情报学
数据引用
特征分析
内容分析法
统计分析法
对比分析法
library and information science
data citation
characteristics
content analysis method
statistical analysis method
comparative analysis method
