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The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research.
Mayo, Kelsey R; Basford, Melissa A; Carroll, Robert J; Dillon, Moira; Fullen, Heather; Leung, Jesse; Master, Hiral; Rura, Shimon; Sulieman, Lina; Kennedy, Nan; Banks, Eric; Bernick, David; Gauchan, Asmita; Lichtenstein, Lee; Mapes, Brandy M; Marginean, Kayla; Nyemba, Steve L; Ramirez, Andrea; Rotundo, Charissa; Wolfe, Keri; Xia, Weiyi; Azuine, Romuladus E; Cronin, Robert M; Denny, Joshua C; Kho, Abel; Lunt, Christopher; Malin, Bradley; Natarajan, Karthik; Wilkins, Consuelo H; Xu, Hua; Hripcsak, George; Roden, Dan M; Philippakis, Anthony A; Glazer, David; Harris, Paul A.
Afiliación
  • Mayo KR; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Basford MA; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Carroll RJ; Deparment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; email: paul.a.harris@vumc.org.
  • Dillon M; Verily Life Sciences, South San Francisco, California, USA.
  • Fullen H; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Leung J; Verily Life Sciences, South San Francisco, California, USA.
  • Master H; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Rura S; Verily Life Sciences, South San Francisco, California, USA.
  • Sulieman L; Deparment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; email: paul.a.harris@vumc.org.
  • Kennedy N; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Banks E; Data Sciences Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
  • Bernick D; Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
  • Gauchan A; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Lichtenstein L; Data Sciences Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
  • Mapes BM; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Marginean K; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Nyemba SL; Deparment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; email: paul.a.harris@vumc.org.
  • Ramirez A; The All of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
  • Rotundo C; Vanderbilt University Medical Center Enterprise Cybersecurity, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wolfe K; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Xia W; Deparment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; email: paul.a.harris@vumc.org.
  • Azuine RE; The All of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
  • Cronin RM; Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA.
  • Denny JC; The All of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
  • Kho A; Department of Medicine and Institute for Augmented Intelligence in Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
  • Lunt C; The All of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
  • Malin B; Deparment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; email: paul.a.harris@vumc.org.
  • Natarajan K; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Wilkins CH; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Xu H; Section of Biomedical Informatics and Data Science, School of Medicine, Yale University, New Haven, Connecticut, USA.
  • Hripcsak G; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Roden DM; Deparment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; email: paul.a.harris@vumc.org.
  • Philippakis AA; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Glazer D; Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Harris PA; Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Annu Rev Biomed Data Sci ; 6: 443-464, 2023 08 10.
Article en En | MEDLINE | ID: mdl-37561600
The All of Us Research Program's Data and Research Center (DRC) was established to help acquire, curate, and provide access to one of the world's largest and most diverse datasets for precision medicine research. Already, over 500,000 participants are enrolled in All of Us, 80% of whom are underrepresented in biomedical research, and data are being analyzed by a community of over 2,300 researchers. The DRC created this thriving data ecosystem by collaborating with engaged participants, innovative program partners, and empowered researchers. In this review, we first describe how the DRC is organized to meet the needs of this broad group of stakeholders. We then outline guiding principles, common challenges, and innovative approaches used to build the All of Us data ecosystem. Finally, we share lessons learned to help others navigate important decisions and trade-offs in building a modern biomedical data platform.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Investigación Biomédica / Salud Poblacional Límite: Humans Idioma: En Revista: Annu Rev Biomed Data Sci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Investigación Biomédica / Salud Poblacional Límite: Humans Idioma: En Revista: Annu Rev Biomed Data Sci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos