数据集引用视角下的知识领域跨学科性和主题演变研究  

Research on Interdisciplinarity and Thematic Evolution of Knowledge Domains from the Perspective of Dataset Citation

作　　者：刘佳豪 宋凯 李玉莹 孙玉伟[1] Liu Jiahao;Song Kai;Li Yuying;Sun Yuwei(Shandong Normal University Library,Shandong Jinan 250358)

机构地区：[1]山东师范大学图书馆,山东济南250358

出　　处：《情报理论与实践》2025年第2期156-167,177,共13页Information Studies:Theory & Application

基　　金：山东省社会科学基金一般项目“政府开放数据可复用性及其提升路径研究”的成果,项目编号:23CTQJ08。

摘　　要：[目的/意义]从数据引用的视角拓展知识领域的定义方式,为科技情报分析工作中知识领域的跨学科性和主题演变分析提供探索性框架。[方法/过程]在定义知识领域的基础上,以自然科学数据集为例,运用跨学科性相关测量指标、DTM主题模型和社会网络分析法等对引用共同数据集的文献进行知识领域跨学科性和主题演变分析。[结果/结论]沿着学科—主题脉络分析的路径,提出了一个针对知识领域跨学科性和主题分析的探索性框架,发现由数据集引用定义的知识领域能够更好地促进学科间知识流动和跨学科合作,促进更细粒度研究群体和新型研究社区的发现以及研究社区中数据角色的识别,其相关指标能够为数据评价提供新视角。[Purpose/significance]This study aims to broaden the definition of knowledge domains from the perspective of data citation,and present an exploratory framework for interdisciplinary and thematic evolution study of knowledge domains in scientific and technological information analysis.[Method/process]Based on the definition of knowledge domains,two natural science datasets are taken as case studies,with interdisciplinarity correlation measurement index,DTM topic model,and social network analysis to examine the analysis of interdisciplinarity and thematic evolution of knowledge domains in articles citing common datasets.[Result/conclusion]Following the path of disciplinary-thematic analysis,this study proposes an exploratory framework for the interdisciplinarity and thematic evolution of knowledge domains.And it is found that knowledge domains defined by datasets can batter facilitate interdisciplinary knowledge flow and cross-disciplinary collaboration,as well as promote the discovery of more granular research groups and new research communities,and the identification of the role of data within the research communities.The relevant indicators can provide a new perspective for data evaluation.

关 键 词：知识领域 数据引用 跨学科性 主题演化 DTM模型 

分 类 号：G63[文化科学—教育学]