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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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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. |
author_sort | Vasan, Kishore |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8385381 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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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