论文部分内容阅读
科学数据引用是科学数据应用的重要组成部分,在大数据时代尤为重要。本文面向科技期刊和科研人员,采用问卷调查的方式,对科学数据引用的态度、平台、动机、标注和描述进行了对比分析,并分析了阻碍科学数据引用的主要因素。随后,提出科学数据引用框架,指出了未来促进科学数据引用的三种路径和模式,即期刊的学术论文-科学数据引用路径、数据中心的科学数据库引用路径和科研人员的自引用路径。
Science data citation is an important part of the application of scientific data, especially important in the big data era. This paper aims at the comparison of the attitudes, platforms, motivations, annotations and descriptions of scientific data cited by scientific journals and researchers in a questionnaire survey, and analyzes the main factors hindering the reference of scientific data. After that, it puts forward the frame of scientific data citation, and points out three ways and models for promoting scientific data citation in the future, namely, the academic papers of journals - the reference path of scientific data, the reference path of scientific database of data center and the self-reference path of researchers.