摘要
科研范式的不断转变以及科研人员数据意识的增强使得科学数据的价值逐渐升高,而关联研究是为了研究不同知识、不同数据之间的相互关系,发现潜在规律。探讨数据论文与期刊论文的关联应用能够推动科学数据高效流通、提高数据的应用能力。本文基于元数据,以全球变化科学研究数据出版系统为数据来源,通过对该平台的数据论文及相应的期刊论文进行关联的特征分析,并选取有代表性的论文数据为研究对象,进行二者关联应用模式的研究。
The changing paradigm of scientific research and the increasing data awareness of researchers have gradually increased the value of scientific data, and the correlation study is to investigate the interrelationship and discover potential relationships between different knowledge and data. Exploring the application of association between data papers and journal articles can promote the efficient flow of scientific data and improve the application of data. Based on metadata, this paper uses the Global Change Scientific Research Data Publishing System as the data source, analyzes the characteristics of the data papers and the corresponding journal papers on the platform, and selects the representative paper data as the research object to study the application model of association.
作者
陈帅印
刘桂锋
刘琼
CHEN ShuaiYin;LIU GuiFeng;LIU Qiong(Institute of Science and Technology Information,Jiangsu University,Zhenjiang 212013,China;Jiangsu University Library,Zhenjiang,212013)
出处
《数字图书馆论坛》
CSSCI
2022年第8期11-18,共8页
Digital Library Forum
基金
江苏大学科研课题立项项目“基于元数据的学术论文与数据论文的关联模式与设计研究”(编号:21C312)资助。
关键词
元数据
数据论文
期刊论文
关联研究
数据管理
科学数据
Metadata
Data Paper
Journal Paper
Association Research
Data Management
Scientific Data
