论文标题

资助Covid-19研究:使用开放数据基础架构进行探索性分析的见解

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

论文作者

Mugabushaka, Alexis-Michel, van Eck, Nees Jan, Waltman, Ludo

论文摘要

为了分析其提供的资金结果,资金机构必须能够追踪其资金产生的出版物至关重要。我们研究CrossRef资金数据的公开可用性,重点介绍了报告与Covid-19有关的研究的出版物的资金数据。我们还与两个专有书目数据库中可用的资金数据进行了比较:Scopus和Web of Science。我们的分析显示,CrossRef中资金数据的覆盖率有限。它还显示了与资金数据质量有关的问题,尤其是在Scopus中。我们提供建议,以改善CrossRef的资金数据的开放供应。

To analyse 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 a 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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