Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research

• Published in: Journal of the American Medical Informatics Association : JAMIA Vol. 30; no. 7; pp. 1293 - 1300
• Main Authors: 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, Lenhardt, Chris, Madden, Tom, Mieczkowska, Joanna O, Miller, Amanda, Patton, Patrick, Rathbun, Marcie, Suber, Stephanie, Asare, Joe
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 20.06.2023
• Subjects: Brief Communication; Cloud Computing; COVID-19; Ecosystem; Humans; Lung; Reproducibility of Results; Software; reproducibility of results; team science; data-driven science; data analysis; cloud computing

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 deve...