资助新冠肺炎研究：使用开放数据基础设施进行探索性分析的见解

IF 4.1 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Quantitative Science Studies Pub Date : 2022-02-23 DOI:10.1162/qss_a_00212

Alexis-Michel Mugabushaka, Nees Jan van Eck, L. Waltman

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引用次数: 8

摘要

摘要为了分析他们提供的资助的结果，资助机构必须能够追踪其资助产生的出版物。我们研究了Crossref中资金数据的公开可用性，重点研究了报告新冠肺炎相关研究的出版物的资金数据。我们还与Scopus和Web of Science这两个专有文献计量数据库中的资助数据进行了比较。我们的分析显示，Crossref中的资金数据覆盖范围有限。它还显示了与资金数据质量有关的问题，特别是Scopus中的问题。我们为改善Crossref中资金数据的公开可用性提供建议。

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Funding COVID-19 research: Insights from an exploratory analysis using open data infrastructures

Abstract To analyze the outcomes of the funding they provide, it is essential for funding agencies to be able to trace the publications resulting from their funding. We study the open availability of funding data in Crossref, focusing on funding data for publications that report research related to COVID-19. We also present a comparison with the funding data available in two proprietary bibliometric databases: Scopus and Web of Science. Our analysis reveals limited coverage of funding data in Crossref. It also shows problems related to the quality of funding data, especially in Scopus. We offer recommendations for improving the open availability of funding data in Crossref.

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来源期刊

Quantitative Science Studies INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

12.10

自引率

12.50%

发文量

审稿时长

22 weeks

期刊介绍：