Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network
Multi-site and multi-organizational teams are increasingly common in epidemiologic research; however, there is a lack of standards or best practices for achieving success in collaborative research networks in epidemiology. We summarize our experiences and lessons learned from the Diabetes Location,...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2025-01-01
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| Series: | Journal of Clinical and Translational Science |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2059866124006708/type/journal_article |
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| author | Tara P. McAlexander Nora L. Lee Gina S. Lovasi Annemarie G. Hirsch Melissa N. Poulsen Brian Elbel Lorna E. Thorpe D. Leann Long Leslie A. McClure |
| author_facet | Tara P. McAlexander Nora L. Lee Gina S. Lovasi Annemarie G. Hirsch Melissa N. Poulsen Brian Elbel Lorna E. Thorpe D. Leann Long Leslie A. McClure |
| author_sort | Tara P. McAlexander |
| collection | DOAJ |
| description | Multi-site and multi-organizational teams are increasingly common in epidemiologic research; however, there is a lack of standards or best practices for achieving success in collaborative research networks in epidemiology. We summarize our experiences and lessons learned from the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, a collaborative agreement between the Centers for Disease Control and Prevention and research teams at Drexel University, New York University, Johns Hopkins University and Geisinger, and the University of Alabama at Birmingham. We present a roadmap for success in collaborative epidemiologic research, with recommendations focused on the following areas to maximize efficiency and success in collaborative research agreements: 1) operational and administrative considerations; 2) data access and sharing of sensitive data; 3) aligning network research aims; 4) harmonization of methods and measures; and 5) dissemination of findings. Future collaborations can be informed by our experiences and ultimately dedicate more resources to achieving scientific aims and efficiently disseminating scientific work products. |
| format | Article |
| id | doaj-art-bfa611d4f7264aa596b2a578c9746fb6 |
| institution | Kabale University |
| issn | 2059-8661 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Clinical and Translational Science |
| spelling | doaj-art-bfa611d4f7264aa596b2a578c9746fb62025-01-16T21:46:53ZengCambridge University PressJournal of Clinical and Translational Science2059-86612025-01-01910.1017/cts.2024.670Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD NetworkTara P. McAlexander0https://orcid.org/0000-0002-1343-3177Nora L. Lee1Gina S. Lovasi2Annemarie G. Hirsch3Melissa N. Poulsen4Brian Elbel5Lorna E. Thorpe6D. Leann Long7Leslie A. McClure8Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USADepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USADepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USADepartment of Population Health Sciences, Geisinger, Danville, PA, USADepartment of Population Health Sciences, Geisinger, Danville, PA, USADepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USADepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USADepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA Department of Biostatistics, The University of Alabama at Birmingham School of Public Health, Birmingham, AL, USADepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA Saint Louis University School of Public Health, St Louis, MO, USAMulti-site and multi-organizational teams are increasingly common in epidemiologic research; however, there is a lack of standards or best practices for achieving success in collaborative research networks in epidemiology. We summarize our experiences and lessons learned from the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, a collaborative agreement between the Centers for Disease Control and Prevention and research teams at Drexel University, New York University, Johns Hopkins University and Geisinger, and the University of Alabama at Birmingham. We present a roadmap for success in collaborative epidemiologic research, with recommendations focused on the following areas to maximize efficiency and success in collaborative research agreements: 1) operational and administrative considerations; 2) data access and sharing of sensitive data; 3) aligning network research aims; 4) harmonization of methods and measures; and 5) dissemination of findings. Future collaborations can be informed by our experiences and ultimately dedicate more resources to achieving scientific aims and efficiently disseminating scientific work products.https://www.cambridge.org/core/product/identifier/S2059866124006708/type/journal_articleCollaborative researchteam scienceepidemiologyharmonizationresearch design and methods |
| spellingShingle | Tara P. McAlexander Nora L. Lee Gina S. Lovasi Annemarie G. Hirsch Melissa N. Poulsen Brian Elbel Lorna E. Thorpe D. Leann Long Leslie A. McClure Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network Journal of Clinical and Translational Science Collaborative research team science epidemiology harmonization research design and methods |
| title | Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network |
| title_full | Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network |
| title_fullStr | Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network |
| title_full_unstemmed | Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network |
| title_short | Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network |
| title_sort | considerations and recommendations for collaborative research networks in epidemiology lessons learned from the diabetes lead network |
| topic | Collaborative research team science epidemiology harmonization research design and methods |
| url | https://www.cambridge.org/core/product/identifier/S2059866124006708/type/journal_article |
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