开放科学视角下的数据论文引用意图研究——以生物医学领域为例  

Citation Intentions of Data Papers in Open Science:A Case Study in the Biomedical Field

作　　者：王莉军[1,3] 刘茹 杨波 刘志辉[1,3] 郑明[1,3] Wang Lijun;Liu Ru;Yang Bo;Liu Zhihui;and Zheng Ming(Institute of Scientific and Technical Information of China,Beijing 100038;College of Informaton Management,Nanjing Agricultural University,Nanjing 210095;Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content,Beijing 100038)

机构地区：[1]中国科学技术信息研究所,北京100038 [2]南京农业大学信息管理学院,南京210095 [3]富媒体数字出版内容组织与知识服务重点实验室,北京100038

出　　处：《情报学报》2025年第3期296-308,共13页Journal of the China Society for Scientific and Technical Information

基　　金：新一代人工智能国家科技重大专项项目“高可靠科技文献智能引擎关键技术研发与示范应用”(2023ZD0121500);中央级公益性科研院所基本科研业务项目“面向多元决策的智能情报技术引擎研发及应用”(ZD2024-04)。

摘　　要：基于引文全文本语料库,多角度揭示数据论文被引特征和趋势变化,探究数据论文在实践中发挥的真实效用。本文以生物医学领域为例,在完成数据论文引用意图自动识别的基础上,从时间、空间和期刊3个维度对其引用意图特征进行分析,揭示生物医学领域数据论文的发展和使用情况。研究结果表明,数据论文的被引时间与发表时间具有较高的一致性,得到的实质性引用占比略高于非实质性引用,在实质性引用中,引用位置主要集中在数据/方法部分;描述数据集的论文数量远高于描述数据库的论文,后者却获得更高、更持久的引用量。This study investigates the citation characteristics and trends of data papers to explore their practical utility,using a full-text corpus of citations.Focusing on the data-intensive biomedical field,we analyze citation intentions across three dimensions:time,space,and journal distribution.Utilizing automatic identification methods,the findings reveal that the citation time of data papers is highly consistent with their publication time.Moreover,the proportion of substantive citations is slightly higher than that of non-substantive citations.In substantive references,citation sentences are primarily concentrated in the data/method section.The number of papers describing datasets is more than those describing databases;however,the latter incorporates higher and more sustained citations.

关 键 词：开放科学 数据论文 引用意图 数据出版 

分 类 号：G250.252[文化科学—图书馆学]