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Network structure and the role of key players in a translational cancer research network: a study protocol
INTRODUCTION: Translational research networks are a deliberate strategy to bridge the gulf between biomedical research and clinical practice through interdisciplinary collaboration, supportive funding and infrastructure. The social network approach examines how the structure of the network and playe...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Group
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3383981/ https://www.ncbi.nlm.nih.gov/pubmed/22734122 http://dx.doi.org/10.1136/bmjopen-2012-001434 |
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author | Long, Janet C Cunningham, Frances C Braithwaite, Jeffrey |
author_facet | Long, Janet C Cunningham, Frances C Braithwaite, Jeffrey |
author_sort | Long, Janet C |
collection | PubMed |
description | INTRODUCTION: Translational research networks are a deliberate strategy to bridge the gulf between biomedical research and clinical practice through interdisciplinary collaboration, supportive funding and infrastructure. The social network approach examines how the structure of the network and players who hold important positions within it constrain or enable function. This information can be used to guide network management and optimise its operations. The aim of this study was to describe the structure of a translational cancer research network (TCRN) in Australia over its first year, identify the key players within the network and explore these players' opportunities and constraints in maximising important network collaborations. METHODS AND ANALYSIS: This study deploys a mixed-method longitudinal design using social network analysis augmented by interviews and review of TCRN documents. The study will use network documents and interviews with governing body members to explore the broader context into which the network is embedded as well as the perceptions and expectations of members. Of particular interest are the attitudes and perceptions of clinicians compared with those of researchers. A co-authorship network will be constructed of TCRN members using journal and citation databases to assess the success of past pre-network collaborations. Two whole network social network surveys will be administered 12 months apart and parameters such as density, clustering, centrality and betweenness centrality computed and compared using UCINET and Netdraw. Key players will be identified and interviewed to understand the specific activities, barriers and enablers they face in that role. ETHICS AND DISSEMINATION: Ethics approvals were obtained from the University of New South Wales, South Eastern Sydney Northern Sector Local Health Network and Calvary Health Care Sydney. Results will be discussed with members of the TCRN, submitted to relevant journals and presented as oral presentations to clinicians, researchers and policymakers. |
format | Online Article Text |
id | pubmed-3383981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-33839812012-06-28 Network structure and the role of key players in a translational cancer research network: a study protocol Long, Janet C Cunningham, Frances C Braithwaite, Jeffrey BMJ Open Health Services Research INTRODUCTION: Translational research networks are a deliberate strategy to bridge the gulf between biomedical research and clinical practice through interdisciplinary collaboration, supportive funding and infrastructure. The social network approach examines how the structure of the network and players who hold important positions within it constrain or enable function. This information can be used to guide network management and optimise its operations. The aim of this study was to describe the structure of a translational cancer research network (TCRN) in Australia over its first year, identify the key players within the network and explore these players' opportunities and constraints in maximising important network collaborations. METHODS AND ANALYSIS: This study deploys a mixed-method longitudinal design using social network analysis augmented by interviews and review of TCRN documents. The study will use network documents and interviews with governing body members to explore the broader context into which the network is embedded as well as the perceptions and expectations of members. Of particular interest are the attitudes and perceptions of clinicians compared with those of researchers. A co-authorship network will be constructed of TCRN members using journal and citation databases to assess the success of past pre-network collaborations. Two whole network social network surveys will be administered 12 months apart and parameters such as density, clustering, centrality and betweenness centrality computed and compared using UCINET and Netdraw. Key players will be identified and interviewed to understand the specific activities, barriers and enablers they face in that role. ETHICS AND DISSEMINATION: Ethics approvals were obtained from the University of New South Wales, South Eastern Sydney Northern Sector Local Health Network and Calvary Health Care Sydney. Results will be discussed with members of the TCRN, submitted to relevant journals and presented as oral presentations to clinicians, researchers and policymakers. BMJ Group 2012-06-25 /pmc/articles/PMC3383981/ /pubmed/22734122 http://dx.doi.org/10.1136/bmjopen-2012-001434 Text en © 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode. |
spellingShingle | Health Services Research Long, Janet C Cunningham, Frances C Braithwaite, Jeffrey Network structure and the role of key players in a translational cancer research network: a study protocol |
title | Network structure and the role of key players in a translational cancer research network: a study protocol |
title_full | Network structure and the role of key players in a translational cancer research network: a study protocol |
title_fullStr | Network structure and the role of key players in a translational cancer research network: a study protocol |
title_full_unstemmed | Network structure and the role of key players in a translational cancer research network: a study protocol |
title_short | Network structure and the role of key players in a translational cancer research network: a study protocol |
title_sort | network structure and the role of key players in a translational cancer research network: a study protocol |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3383981/ https://www.ncbi.nlm.nih.gov/pubmed/22734122 http://dx.doi.org/10.1136/bmjopen-2012-001434 |
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