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Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research.
Ahalt, Stan; Avillach, Paul; Boyles, Rebecca; Bradford, Kira; Cox, Steven; Davis-Dusenbery, Brandi; Grossman, Robert L; Krishnamurthy, Ashok; Manning, Alisa; Paten, Benedict; Philippakis, Anthony; Borecki, Ingrid; Chen, Shu Hui; Kaltman, Jon; Ladwa, Sweta; Schwartz, Chip; Thomson, Alastair; Davis, Sarah; Leaf, Alison; Lyons, Jessica; Sheets, Elizabeth; Bis, Joshua C; Conomos, Matthew; Culotti, Alessandro; Desain, Thomas; Digiovanna, Jack; Domazet, Milan; Gogarten, Stephanie; Gutierrez-Sacristan, Alba; Harris, Tim; Heavner, Ben; Jain, Deepti; O'Connor, Brian; Osborn, Kevin; Pillion, Danielle; Pleiness, Jacob; Rice, Ken; Rupp, Garrett; Serret-Larmande, Arnaud; Smith, Albert; Stedman, Jason P; Stilp, Adrienne; Barsanti, Teresa; Cheadle, John; Erdmann, Christopher; Farlow, Brandy; Gartland-Gray, Allie; Hayes, Julie; Hiles, Hannah; Kerr, Paul.
  • Ahalt S; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Boyles R; RTI International, Triangle Park, North Carolina, USA.
  • Bradford K; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Cox S; RTI International, Triangle Park, North Carolina, USA.
  • Davis-Dusenbery B; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Grossman RL; Velsera, Boston, Massachusetts, USA.
  • Krishnamurthy A; University of Chicago, Chicago, Illinois, USA.
  • Manning A; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Paten B; The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Philippakis A; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.
  • Borecki I; The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Chen SH; Independent Consultant, BioData Catalyst Steering Committee Chair, St. Louis, Missouri, USA.
  • Kaltman J; National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
  • Ladwa S; National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
  • Schwartz C; Axle Informatics, Rockville, Maryland, USA.
  • Thomson A; Coresoft, LLC, Gaithersburg, Maryland, USA.
  • Davis S; National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
  • Leaf A; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Lyons J; Velsera, Boston, Massachusetts, USA.
  • Sheets E; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Bis JC; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.
  • Conomos M; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Culotti A; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Desain T; The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Digiovanna J; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Domazet M; Velsera, Boston, Massachusetts, USA.
  • Gogarten S; Velsera, Boston, Massachusetts, USA.
  • Gutierrez-Sacristan A; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Harris T; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Heavner B; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.
  • Jain D; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • O'Connor B; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Osborn K; Nimbus Informatics, San Jose, California, USA.
  • Pillion D; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.
  • Pleiness J; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Rice K; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
  • Rupp G; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Serret-Larmande A; Velsera, Boston, Massachusetts, USA.
  • Smith A; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Stedman JP; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
  • Stilp A; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Barsanti T; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Cheadle J; Nimbus Informatics, San Jose, California, USA.
  • Erdmann C; RTI International, Triangle Park, North Carolina, USA.
  • Farlow B; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Gartland-Gray A; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Hayes J; RTI International, Triangle Park, North Carolina, USA.
  • Hiles H; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Kerr P; Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
J Am Med Inform Assoc ; 30(7): 1293-1300, 2023 06 20.
Artículo en Inglés | MEDLINE | ID: covidwho-2321421
ABSTRACT
Research increasingly relies on interrogating large-scale data resources. The NIH National Heart, Lung, and Blood Institute developed the NHLBI BioData CatalystⓇ (BDC), a community-driven ecosystem where researchers, including bench and clinical scientists, statisticians, and algorithm developers, find, access, share, store, and compute on large-scale datasets. This ecosystem provides secure, cloud-based workspaces, user authentication and authorization, search, tools and workflows, applications, and new innovative features to address community needs, including exploratory data analysis, genomic and imaging tools, tools for reproducibility, and improved interoperability with other NIH data science platforms. BDC offers straightforward access to large-scale datasets and computational resources that support precision medicine for heart, lung, blood, and sleep conditions, leveraging separately developed and managed platforms to maximize flexibility based on researcher needs, expertise, and backgrounds. Through the NHLBI BioData Catalyst Fellows Program, BDC facilitates scientific discoveries and technological advances. BDC also facilitated accelerated research on the coronavirus disease-2019 (COVID-19) pandemic.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Nube Computacional / COVID-19 Tipo de estudio: Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: J Am Med Inform Assoc Asunto de la revista: Informática Médica Año: 2023 Tipo del documento: Artículo País de afiliación: Jamia

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Nube Computacional / COVID-19 Tipo de estudio: Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: J Am Med Inform Assoc Asunto de la revista: Informática Médica Año: 2023 Tipo del documento: Artículo País de afiliación: Jamia