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Network-based assessment of collaborative research in neuroscience

INTRODUCTION: The purpose of this study was to describe collaborative research in neuroscience within the context of the Center for Neurodegeneration and Translational Neuroscience (CNTN), a Center of Biomedical Research Excellence supported by the National Institute of General Medical Science. Draw...

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Autores principales: Marchand, Gwen C., Hilpert, Jonathan C., Bragg, Kristine M., Cummings, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170254/
https://www.ncbi.nlm.nih.gov/pubmed/30294659
http://dx.doi.org/10.1016/j.trci.2018.08.006
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author Marchand, Gwen C.
Hilpert, Jonathan C.
Bragg, Kristine M.
Cummings, Jeffrey
author_facet Marchand, Gwen C.
Hilpert, Jonathan C.
Bragg, Kristine M.
Cummings, Jeffrey
author_sort Marchand, Gwen C.
collection PubMed
description INTRODUCTION: The purpose of this study was to describe collaborative research in neuroscience within the context of the Center for Neurodegeneration and Translational Neuroscience (CNTN), a Center of Biomedical Research Excellence supported by the National Institute of General Medical Science. Drawing upon research on the science of team science, this study investigated the way that interactions around research emerged over the course of establishing a new research center. The objectives were to document changes in research activity and describe how human research support infrastructure functioned to support the production of science. METHODS: Social network analyses were used to model coauthorship relationships based on publication histories from baseline (2014) through the current grant year (2017) for key personnel (n = 12), as well as survey data on collaborative engagement among CNTN members (n = 59). RESULTS: Exponential random graph models indicated that over time, CNTN members were increasingly likely to form coauthorship relationships. Community detection algorithms and brokerage analyses suggested that the CNTN was functioning as intended to support scientific development. DISCUSSION: Assessment of team science efforts is critical to evaluating and developing appropriate support structures that facilitate successful team science efforts in translational neuroscience.
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spelling pubmed-61702542018-10-05 Network-based assessment of collaborative research in neuroscience Marchand, Gwen C. Hilpert, Jonathan C. Bragg, Kristine M. Cummings, Jeffrey Alzheimers Dement (N Y) Special Issue from the Centers of Biomedical Research Excellence (COBRE) and Center for Neurodegeneration and Translational Neuroscience (CNTN) INTRODUCTION: The purpose of this study was to describe collaborative research in neuroscience within the context of the Center for Neurodegeneration and Translational Neuroscience (CNTN), a Center of Biomedical Research Excellence supported by the National Institute of General Medical Science. Drawing upon research on the science of team science, this study investigated the way that interactions around research emerged over the course of establishing a new research center. The objectives were to document changes in research activity and describe how human research support infrastructure functioned to support the production of science. METHODS: Social network analyses were used to model coauthorship relationships based on publication histories from baseline (2014) through the current grant year (2017) for key personnel (n = 12), as well as survey data on collaborative engagement among CNTN members (n = 59). RESULTS: Exponential random graph models indicated that over time, CNTN members were increasingly likely to form coauthorship relationships. Community detection algorithms and brokerage analyses suggested that the CNTN was functioning as intended to support scientific development. DISCUSSION: Assessment of team science efforts is critical to evaluating and developing appropriate support structures that facilitate successful team science efforts in translational neuroscience. Elsevier 2018-09-06 /pmc/articles/PMC6170254/ /pubmed/30294659 http://dx.doi.org/10.1016/j.trci.2018.08.006 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special Issue from the Centers of Biomedical Research Excellence (COBRE) and Center for Neurodegeneration and Translational Neuroscience (CNTN)
Marchand, Gwen C.
Hilpert, Jonathan C.
Bragg, Kristine M.
Cummings, Jeffrey
Network-based assessment of collaborative research in neuroscience
title Network-based assessment of collaborative research in neuroscience
title_full Network-based assessment of collaborative research in neuroscience
title_fullStr Network-based assessment of collaborative research in neuroscience
title_full_unstemmed Network-based assessment of collaborative research in neuroscience
title_short Network-based assessment of collaborative research in neuroscience
title_sort network-based assessment of collaborative research in neuroscience
topic Special Issue from the Centers of Biomedical Research Excellence (COBRE) and Center for Neurodegeneration and Translational Neuroscience (CNTN)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170254/
https://www.ncbi.nlm.nih.gov/pubmed/30294659
http://dx.doi.org/10.1016/j.trci.2018.08.006
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