情报研究

我国社会科学领域科学数据引用特征分析

  • 卫军朝 ,
  • 任巧
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  • 上海大学文化遗产与信息管理学院 上海 200444
卫军朝,副教授,博士,E-mail:weijch@shu.edu.cn;任巧,硕士研究生。

收稿日期: 2023-03-01

  修回日期: 2023-06-08

  网络出版日期: 2023-09-11

基金资助

本文系上海市社科规划课题“开放科学视角下科学数据可重用性实现机制研究”(项目编号:2021ZTQ001)研究成果之一。

Scientific Data’s Citing Characteristics in the Fields of Social Science in China

  • Wei Junchao ,
  • Ren Qiao
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  • School of Culture Heritage & Information Management, Shanghai University, Shanghai 200444

Received date: 2023-03-01

  Revised date: 2023-06-08

  Online published: 2023-09-11

摘要

[目的/意义] 以我国社会科学领域5种高水平期刊为样本,探究社会科学领域的科学数据引用行为特征,为我国数据引用规范化提供参考与借鉴。[方法/过程] 以人工标引的方法,从期刊论文全文识别数据引用行为,通过引用总体情况、科学数据引用行为特征、引用的科学数据属性特征、科学数据属性特征与引用行为特征相关性等维度开展社会科学领域科学数据引用行为特征的分析。[结果/结论] 分析我国社会科学领域科学数据引用行为特征,社会科学不同学科之间引用行为差异较大,科学数据引用规范有待加强,并为提升数据引用规范提出建议。

本文引用格式

卫军朝 , 任巧 . 我国社会科学领域科学数据引用特征分析[J]. 图书情报工作, 2023 , 67(17) : 65 -76 . DOI: 10.13266/j.issn.0252-3116.2023.17.006

Abstract

[Purpose/Significance] Based on citation of scientific data from top 5 journals in the fields of social sciences in China, the paper studies the citing characteristics of scientific data in the fields of social science in China, to provide suggestions for standardization on the citing of scientific data in China. [Method/Process] Based on manual indexing of the full text of journals, citing Characteristics of scientific data are analyzed through the general characteristics of citation, the citing characteristics of scientific data, the attributes of scientific data, and the correlation between them. [Result/Conclusion] The study finds there were great differences in citing of scientific data among different journals. The regulation on the citing of scientific data need to be strengthened. Some suggestions are put forward for the standardization on the citing of scientific data.

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