Funding COVID-19 research: Insights from an exploratory analysis using open data infrastructures-Reference-Cited by-同舟云学术

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

Published:2022 Issue:3 Volume:3 Page:560-582
ISSN:2641-3337
Container-title:Quantitative Science Studies
language:en
Short-container-title:

Author:

Mugabushaka Alexis-Michel¹^ORCID,van Eck Nees Jan²^ORCID,Waltman Ludo²^ORCID

Affiliation:

1. European Research Council, Brussels, Belgium

2. Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, Netherlands

Abstract

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.

Publisher

MIT Press

Subject

Library and Information Sciences,Cultural Studies,Numerical Analysis,Analysis

Link

https://direct.mit.edu/qss/article-pdf/3/3/560/2057823/qss_a_00212.pdf

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