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How Criterion Scores Predict the Overall Impact Score and Funding Outcomes for National Institutes of Health Peer-Reviewed Applications

Understanding the factors associated with successful funding outcomes of research project grant (R01) applications is critical for the biomedical research community. R01 applications are evaluated through the National Institutes of Health (NIH) peer review system, where peer reviewers are asked to e...

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Detalles Bibliográficos
Autores principales: Eblen, Matthew K., Wagner, Robin M., RoyChowdhury, Deepshikha, Patel, Katherine C., Pearson, Katrina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889138/
https://www.ncbi.nlm.nih.gov/pubmed/27249058
http://dx.doi.org/10.1371/journal.pone.0155060
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author Eblen, Matthew K.
Wagner, Robin M.
RoyChowdhury, Deepshikha
Patel, Katherine C.
Pearson, Katrina
author_facet Eblen, Matthew K.
Wagner, Robin M.
RoyChowdhury, Deepshikha
Patel, Katherine C.
Pearson, Katrina
author_sort Eblen, Matthew K.
collection PubMed
description Understanding the factors associated with successful funding outcomes of research project grant (R01) applications is critical for the biomedical research community. R01 applications are evaluated through the National Institutes of Health (NIH) peer review system, where peer reviewers are asked to evaluate and assign scores to five research criteria when assessing an application’s scientific and technical merit. This study examined the relationship of the five research criterion scores to the Overall Impact score and the likelihood of being funded for over 123,700 competing R01 applications for fiscal years 2010 through 2013. The relationships of other application and applicant characteristics, including demographics, to scoring and funding outcomes were studied as well. The analyses showed that the Approach and, to a lesser extent, the Significance criterion scores were the main predictors of an R01 application’s Overall Impact score and its likelihood of being funded. Applicants might consider these findings when submitting future R01 applications to NIH.
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spelling pubmed-48891382016-06-10 How Criterion Scores Predict the Overall Impact Score and Funding Outcomes for National Institutes of Health Peer-Reviewed Applications Eblen, Matthew K. Wagner, Robin M. RoyChowdhury, Deepshikha Patel, Katherine C. Pearson, Katrina PLoS One Research Article Understanding the factors associated with successful funding outcomes of research project grant (R01) applications is critical for the biomedical research community. R01 applications are evaluated through the National Institutes of Health (NIH) peer review system, where peer reviewers are asked to evaluate and assign scores to five research criteria when assessing an application’s scientific and technical merit. This study examined the relationship of the five research criterion scores to the Overall Impact score and the likelihood of being funded for over 123,700 competing R01 applications for fiscal years 2010 through 2013. The relationships of other application and applicant characteristics, including demographics, to scoring and funding outcomes were studied as well. The analyses showed that the Approach and, to a lesser extent, the Significance criterion scores were the main predictors of an R01 application’s Overall Impact score and its likelihood of being funded. Applicants might consider these findings when submitting future R01 applications to NIH. Public Library of Science 2016-06-01 /pmc/articles/PMC4889138/ /pubmed/27249058 http://dx.doi.org/10.1371/journal.pone.0155060 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Eblen, Matthew K.
Wagner, Robin M.
RoyChowdhury, Deepshikha
Patel, Katherine C.
Pearson, Katrina
How Criterion Scores Predict the Overall Impact Score and Funding Outcomes for National Institutes of Health Peer-Reviewed Applications
title How Criterion Scores Predict the Overall Impact Score and Funding Outcomes for National Institutes of Health Peer-Reviewed Applications
title_full How Criterion Scores Predict the Overall Impact Score and Funding Outcomes for National Institutes of Health Peer-Reviewed Applications
title_fullStr How Criterion Scores Predict the Overall Impact Score and Funding Outcomes for National Institutes of Health Peer-Reviewed Applications
title_full_unstemmed How Criterion Scores Predict the Overall Impact Score and Funding Outcomes for National Institutes of Health Peer-Reviewed Applications
title_short How Criterion Scores Predict the Overall Impact Score and Funding Outcomes for National Institutes of Health Peer-Reviewed Applications
title_sort how criterion scores predict the overall impact score and funding outcomes for national institutes of health peer-reviewed applications
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889138/
https://www.ncbi.nlm.nih.gov/pubmed/27249058
http://dx.doi.org/10.1371/journal.pone.0155060
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