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The hidden influence of communities in collaborative funding of clinical science

Every year the National Institutes of Health allocates $10.7 billion (one-third of its funds) for clinical science research while the pharmaceutical companies spend $52.9 billion (90% of its annual budget). However, we know little about funder collaborations and the impact of collaboratively funded...

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Autores principales: Vasan, Kishore, West, Jevin D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385381/
https://www.ncbi.nlm.nih.gov/pubmed/34457332
http://dx.doi.org/10.1098/rsos.210072
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author Vasan, Kishore
West, Jevin D.
author_facet Vasan, Kishore
West, Jevin D.
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description Every year the National Institutes of Health allocates $10.7 billion (one-third of its funds) for clinical science research while the pharmaceutical companies spend $52.9 billion (90% of its annual budget). However, we know little about funder collaborations and the impact of collaboratively funded projects. As an initial effort towards this, we examine the co-funding network, where a funder represents a node and an edge signifies collaboration. Our core data include all papers that cite and receive citations by the Cochrane Database of Systemic Reviews, a prominent clinical review journal. We find that 65% of clinical papers have multiple funders and discover communities of funders that are formed by national boundaries and funding objectives. To quantify success in funding, we use a g-index metric that indicates efficiency of funders in supporting clinically relevant research. After controlling for authorship, we find that funders generally achieve higher success when collaborating than when solo-funding. We also find that as a funder, seeking multiple, direct connections with various disconnected funders may be more beneficial than being part of a densely interconnected network of co-funders. The results of this paper indicate that collaborations can potentially accelerate innovation, not only among authors but also funders.
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spelling pubmed-83853812021-08-26 The hidden influence of communities in collaborative funding of clinical science Vasan, Kishore West, Jevin D. R Soc Open Sci Computer Science and Artificial Intelligence Every year the National Institutes of Health allocates $10.7 billion (one-third of its funds) for clinical science research while the pharmaceutical companies spend $52.9 billion (90% of its annual budget). However, we know little about funder collaborations and the impact of collaboratively funded projects. As an initial effort towards this, we examine the co-funding network, where a funder represents a node and an edge signifies collaboration. Our core data include all papers that cite and receive citations by the Cochrane Database of Systemic Reviews, a prominent clinical review journal. We find that 65% of clinical papers have multiple funders and discover communities of funders that are formed by national boundaries and funding objectives. To quantify success in funding, we use a g-index metric that indicates efficiency of funders in supporting clinically relevant research. After controlling for authorship, we find that funders generally achieve higher success when collaborating than when solo-funding. We also find that as a funder, seeking multiple, direct connections with various disconnected funders may be more beneficial than being part of a densely interconnected network of co-funders. The results of this paper indicate that collaborations can potentially accelerate innovation, not only among authors but also funders. The Royal Society 2021-08-25 /pmc/articles/PMC8385381/ /pubmed/34457332 http://dx.doi.org/10.1098/rsos.210072 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Computer Science and Artificial Intelligence
Vasan, Kishore
West, Jevin D.
The hidden influence of communities in collaborative funding of clinical science
title The hidden influence of communities in collaborative funding of clinical science
title_full The hidden influence of communities in collaborative funding of clinical science
title_fullStr The hidden influence of communities in collaborative funding of clinical science
title_full_unstemmed The hidden influence of communities in collaborative funding of clinical science
title_short The hidden influence of communities in collaborative funding of clinical science
title_sort hidden influence of communities in collaborative funding of clinical science
topic Computer Science and Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385381/
https://www.ncbi.nlm.nih.gov/pubmed/34457332
http://dx.doi.org/10.1098/rsos.210072
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