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Novel approach for tracking interdisciplinary research productivity using institutional databases
This study proposes a new practical approach for tracking institutional changes in research teamwork and productivity using commonly available institutional electronic databases such as eCV and grant management systems. We tested several definitions of interdisciplinary collaborations based on numbe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550599/ https://www.ncbi.nlm.nih.gov/pubmed/36259067 http://dx.doi.org/10.1017/cts.2022.455 |
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author | Bengert, E. Towle-Miller, L. Boccardo, J. Mercene, G. Ohtake, P.J. Balkundi, P. Elkin, P.L. Balthasar, J. Murphy, T.F. Noyes, K. |
author_facet | Bengert, E. Towle-Miller, L. Boccardo, J. Mercene, G. Ohtake, P.J. Balkundi, P. Elkin, P.L. Balthasar, J. Murphy, T.F. Noyes, K. |
author_sort | Bengert, E. |
collection | PubMed |
description | This study proposes a new practical approach for tracking institutional changes in research teamwork and productivity using commonly available institutional electronic databases such as eCV and grant management systems. We tested several definitions of interdisciplinary collaborations based on number of collaborations and their fields of discipline. We demonstrated that the extent of interdisciplinary collaboration varies significantly by academic unit, faculty appointment and seniority. Interdisciplinary grants constitute 24% of all grants but the trend has significantly increased over the last five years. Departments with more interdisciplinary grants receive more research funding. More research is needed to improve efficiency of interdisciplinary collaborations. |
format | Online Article Text |
id | pubmed-9550599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95505992022-10-17 Novel approach for tracking interdisciplinary research productivity using institutional databases Bengert, E. Towle-Miller, L. Boccardo, J. Mercene, G. Ohtake, P.J. Balkundi, P. Elkin, P.L. Balthasar, J. Murphy, T.F. Noyes, K. J Clin Transl Sci Brief Report This study proposes a new practical approach for tracking institutional changes in research teamwork and productivity using commonly available institutional electronic databases such as eCV and grant management systems. We tested several definitions of interdisciplinary collaborations based on number of collaborations and their fields of discipline. We demonstrated that the extent of interdisciplinary collaboration varies significantly by academic unit, faculty appointment and seniority. Interdisciplinary grants constitute 24% of all grants but the trend has significantly increased over the last five years. Departments with more interdisciplinary grants receive more research funding. More research is needed to improve efficiency of interdisciplinary collaborations. Cambridge University Press 2022-08-30 /pmc/articles/PMC9550599/ /pubmed/36259067 http://dx.doi.org/10.1017/cts.2022.455 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Brief Report Bengert, E. Towle-Miller, L. Boccardo, J. Mercene, G. Ohtake, P.J. Balkundi, P. Elkin, P.L. Balthasar, J. Murphy, T.F. Noyes, K. Novel approach for tracking interdisciplinary research productivity using institutional databases |
title | Novel approach for tracking interdisciplinary research productivity using institutional databases |
title_full | Novel approach for tracking interdisciplinary research productivity using institutional databases |
title_fullStr | Novel approach for tracking interdisciplinary research productivity using institutional databases |
title_full_unstemmed | Novel approach for tracking interdisciplinary research productivity using institutional databases |
title_short | Novel approach for tracking interdisciplinary research productivity using institutional databases |
title_sort | novel approach for tracking interdisciplinary research productivity using institutional databases |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550599/ https://www.ncbi.nlm.nih.gov/pubmed/36259067 http://dx.doi.org/10.1017/cts.2022.455 |
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