2018
DOI: 10.3390/ijerph15112533
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Knowledge Management for Fostering Biostatistical Collaboration within a Research Network: The RTRN Case Study

Abstract: Purpose: While the intellectual and scientific rationale for research collaboration has been articulated, a paucity of information is available on a strategic approach to facilitate the collaboration within a research network designed to reduce health disparities. This study aimed to (1) develop a conceptual model to facilitate collaboration among biostatisticians in a research network; (2) describe collaborative engagement performed by the Network’s Data Coordinating Center (DCC); and (3) discuss potential ch… Show more

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“…The organizational structure of centralized collaborative biostatistics units in academic health centers (AHCs) in the United States and their important contributions to clinical and translational research have been widely discussed (Ciolino et al, 2021 ; Desai et al, 2022 ; Lee et al, 2018 ; Pomann et al, 2020 ; Rahbar et al, 2017 ; Rosenblum, 2012 ; Thiese et al, 2018 ; Welty et al, 2013 ). Establishing strong collaborative biostatistics units requires careful strategy, with important considerations including the unit's mission, along with its collaborator base, workforce structure, leadership, and funding model (Desai et al, 2022 ; Parker et al, 2021 ; Thiese et al, 2018 ; Welty et al, 2013 ).…”
Section: Introductionmentioning
confidence: 99%
“…The organizational structure of centralized collaborative biostatistics units in academic health centers (AHCs) in the United States and their important contributions to clinical and translational research have been widely discussed (Ciolino et al, 2021 ; Desai et al, 2022 ; Lee et al, 2018 ; Pomann et al, 2020 ; Rahbar et al, 2017 ; Rosenblum, 2012 ; Thiese et al, 2018 ; Welty et al, 2013 ). Establishing strong collaborative biostatistics units requires careful strategy, with important considerations including the unit's mission, along with its collaborator base, workforce structure, leadership, and funding model (Desai et al, 2022 ; Parker et al, 2021 ; Thiese et al, 2018 ; Welty et al, 2013 ).…”
Section: Introductionmentioning
confidence: 99%