Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium

Research is increasingly conducted through multi-institutional consortia, and best practices for establishing multi-site research collaborations must be employed to ensure efficient, effective, and productive translational research teams. In this manuscript, we describe how the Population-based Rese...

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Main Authors: Julie S. Steiner, Erica Blum-Barnett, Betsy Rolland, Courtney R. Kraus, Jocelyn V. Wainwright, Ruth Bedoy, Yannica Theda Martinez, Elizabeth R. Alleman, Roxy Eibergen, Lisa E. Pieper, Nikki M. Carroll, Brian Hixon, Andrew Sterrett, Katharine A. Rendle, Chelsea Saia, Anil Vachani, Debra P. Ritzwoller, Andrea Burnett-Hartman
Format: Article
Language:English
Published: Cambridge University Press 2023-01-01
Series:Journal of Clinical and Translational Science
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2059866123005666/type/journal_article
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author Julie S. Steiner
Erica Blum-Barnett
Betsy Rolland
Courtney R. Kraus
Jocelyn V. Wainwright
Ruth Bedoy
Yannica Theda Martinez
Elizabeth R. Alleman
Roxy Eibergen
Lisa E. Pieper
Nikki M. Carroll
Brian Hixon
Andrew Sterrett
Katharine A. Rendle
Chelsea Saia
Anil Vachani
Debra P. Ritzwoller
Andrea Burnett-Hartman
author_facet Julie S. Steiner
Erica Blum-Barnett
Betsy Rolland
Courtney R. Kraus
Jocelyn V. Wainwright
Ruth Bedoy
Yannica Theda Martinez
Elizabeth R. Alleman
Roxy Eibergen
Lisa E. Pieper
Nikki M. Carroll
Brian Hixon
Andrew Sterrett
Katharine A. Rendle
Chelsea Saia
Anil Vachani
Debra P. Ritzwoller
Andrea Burnett-Hartman
author_sort Julie S. Steiner
collection DOAJ
description Research is increasingly conducted through multi-institutional consortia, and best practices for establishing multi-site research collaborations must be employed to ensure efficient, effective, and productive translational research teams. In this manuscript, we describe how the Population-based Research to Optimize the Screening Process Lung Research Center (PROSPR-Lung) utilized evidence-based Science of Team Science (SciTS) best practices to establish the consortium’s infrastructure and processes to promote translational research in lung cancer screening. We provide specific, actionable examples of how we: (1) developed and reinforced a shared mission, vision, and goals; (2) maintained a transparent and representative leadership structure; (3) employed strong research support systems; (4) provided efficient and effective data management; (5) promoted interdisciplinary conversations; and (6) built a culture of trust. We offer guidance for managing a multi-site research center and data repository that may be applied to a variety of settings. Finally, we detail specific project management tools and processes used to drive collaboration, efficiency, and scientific productivity.
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spelling doaj.art-c79dd23f954744b89beba6a0919ef6752023-07-07T07:36:09ZengCambridge University PressJournal of Clinical and Translational Science2059-86612023-01-01710.1017/cts.2023.566Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortiumJulie S. Steiner0https://orcid.org/0000-0002-9064-3899Erica Blum-Barnett1Betsy Rolland2https://orcid.org/0000-0002-4947-988XCourtney R. Kraus3Jocelyn V. Wainwright4Ruth Bedoy5Yannica Theda Martinez6Elizabeth R. Alleman7Roxy Eibergen8Lisa E. Pieper9Nikki M. Carroll10Brian Hixon11Andrew Sterrett12Katharine A. Rendle13Chelsea Saia14Anil Vachani15Debra P. Ritzwoller16Andrea Burnett-Hartman17Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USACarbone Cancer Center and Institute for Clinical and Translational Research, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USAPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USACenter for Integrated Healthcare Research, Kaiser Permanente Hawaii, Oahu, USAHenry Ford Health System and Henry Ford Cancer Institute, Detroit, MI, USAMarshfield Clinic Research Institute, Marshfield, WI, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USAPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USAInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USAResearch is increasingly conducted through multi-institutional consortia, and best practices for establishing multi-site research collaborations must be employed to ensure efficient, effective, and productive translational research teams. In this manuscript, we describe how the Population-based Research to Optimize the Screening Process Lung Research Center (PROSPR-Lung) utilized evidence-based Science of Team Science (SciTS) best practices to establish the consortium’s infrastructure and processes to promote translational research in lung cancer screening. We provide specific, actionable examples of how we: (1) developed and reinforced a shared mission, vision, and goals; (2) maintained a transparent and representative leadership structure; (3) employed strong research support systems; (4) provided efficient and effective data management; (5) promoted interdisciplinary conversations; and (6) built a culture of trust. We offer guidance for managing a multi-site research center and data repository that may be applied to a variety of settings. Finally, we detail specific project management tools and processes used to drive collaboration, efficiency, and scientific productivity.https://www.cambridge.org/core/product/identifier/S2059866123005666/type/journal_articleTeam sciencecancerconsortiumproject managementdata management
spellingShingle Julie S. Steiner
Erica Blum-Barnett
Betsy Rolland
Courtney R. Kraus
Jocelyn V. Wainwright
Ruth Bedoy
Yannica Theda Martinez
Elizabeth R. Alleman
Roxy Eibergen
Lisa E. Pieper
Nikki M. Carroll
Brian Hixon
Andrew Sterrett
Katharine A. Rendle
Chelsea Saia
Anil Vachani
Debra P. Ritzwoller
Andrea Burnett-Hartman
Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium
Journal of Clinical and Translational Science
Team science
cancer
consortium
project management
data management
title Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium
title_full Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium
title_fullStr Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium
title_full_unstemmed Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium
title_short Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium
title_sort application of team science best practices to the project management of a large multi site lung cancer screening research consortium
topic Team science
cancer
consortium
project management
data management
url https://www.cambridge.org/core/product/identifier/S2059866123005666/type/journal_article
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