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

Stan Ahalt; Paul Avillach; Rebecca Boyles; Kira Bradford; Steven Cox; Brandi Davis-Dusenbery; Robert L. Grossman; Ashok Krishnamurthy; Alisa Manning; Benedict Paten; Anthony Philippakis; Ingrid Borecki; Shu Hui Chen; Jon Kaltman; Sweta Ladwa; Chip Schwartz; Alastair Thomson; Sarah Davis; Alison Leaf; Jessica Lyons; Elizabeth Sheets; Joshua C. Bis; Matthew Conomos; Alessandro Culotti; Thomas Desain; Jack Digiovanna; Milan Domazet; Stephanie Gogarten; Alba Gutierrez-Sacristan; Tim Harris; Ben Heavner; Deepti Jain; Brian O’Connor; Kevin Osborn; Danielle Pillion; Jacob Pleiness; Ken Rice; Garrett Rupp; Arnaud Serret-Larmande; Albert Smith; Jason P. Stedman; Adrienne Stilp; Teresa Barsanti; John Cheadle; Christopher Erdmann; Brandy Farlow; Allie Gartland-Gray; Julie Hayes; Hannah Hiles; Paul Kerr; Chris Lenhardt; Tom Madden; Joanna O. Mieczkowska; Amanda Miller; Patrick Patton; Marcie Rathbun; Stephanie Suber; Joe Asare

doi:10.1093/jamia/ocad048

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

Stan Ahalt
, Paul Avillach
, Rebecca Boyles
, Kira Bradford
, Steven Cox
, Brandi Davis-Dusenbery
, Robert L. Grossman
, Ashok Krishnamurthy
, Alisa Manning
, Benedict Paten
, Anthony Philippakis
, Ingrid Borecki
, Shu Hui Chen
, Jon Kaltman
, Sweta Ladwa
, Chip Schwartz
, Alastair Thomson
, Sarah Davis
, Alison Leaf
, Jessica Lyons

Elizabeth Sheets, Joshua C. Bis, Matthew Conomos, Alessandro Culotti, Thomas Desain, Jack Digiovanna, Milan Domazet, Stephanie Gogarten, Alba Gutierrez-Sacristan, Tim Harris, Ben Heavner, Deepti Jain, Brian O’Connor, Kevin Osborn, Danielle Pillion, Jacob Pleiness, Ken Rice, Garrett Rupp, Arnaud Serret-Larmande, Albert Smith, Jason P. Stedman, Adrienne Stilp, Teresa Barsanti, John Cheadle, Christopher Erdmann, Brandy Farlow, Allie Gartland-Gray, Julie Hayes, Hannah Hiles, Paul Kerr, Chris Lenhardt, Tom Madden, Joanna O. Mieczkowska, Amanda Miller, Patrick Patton, Marcie Rathbun, Stephanie Suber, Joe Asare

University of North Carolina at Chapel Hill
Harvard University
RTI International
Velsera
The University of Chicago
The Broad Institute of MIT and Harvard
University of California
BioData Catalyst Steering Committee Chair
National Institutes of Health
Axle Informatics
LLC
University of Washington
Nimbus Informatics
University of Michigan, Ann Arbor

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Research increasingly relies on interrogating large-scale data resources. The NIH National Heart, Lung, and Blood Institute developed the NHLBI BioData Catalyst^sR (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.

Original language	English
Pages (from-to)	1293-1300
Number of pages	8
Journal	Journal of the American Medical Informatics Association
Volume	30
Issue number	7
DOIs	https://doi.org/10.1093/jamia/ocad048
State	Published - Jul 2023
Externally published	Yes

Keywords

cloud computing
data analysis
data-driven science
reproducibility of results
team science

Access to Document

10.1093/jamia/ocad048

Cite this

Ahalt, S., Avillach, P., Boyles, R., Bradford, K., Cox, S., Davis-Dusenbery, B., Grossman, R. L., Krishnamurthy, A., Manning, A., Paten, B., Philippakis, A., Borecki, I., Chen, S. H., Kaltman, J., Ladwa, S., Schwartz, C., Thomson, A., Davis, S., Leaf, A., ... Asare, J. (2023). Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. Journal of the American Medical Informatics Association, 30(7), 1293-1300. https://doi.org/10.1093/jamia/ocad048

@article{a0034ff22c8d4918a82edeab139ee821,

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

abstract = "Research increasingly relies on interrogating large-scale data resources. The NIH National Heart, Lung, and Blood Institute developed the NHLBI BioData CatalystsR (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.",

keywords = "cloud computing, data analysis, data-driven science, reproducibility of results, team science",

author = "Stan Ahalt and Paul Avillach and Rebecca Boyles and Kira Bradford and Steven Cox and Brandi Davis-Dusenbery and Grossman, \{Robert L.\} and Ashok Krishnamurthy and Alisa Manning and Benedict Paten and Anthony Philippakis and Ingrid Borecki and Chen, \{Shu Hui\} and Jon Kaltman and Sweta Ladwa and Chip Schwartz and Alastair Thomson and Sarah Davis and Alison Leaf and Jessica Lyons and Elizabeth Sheets and Bis, \{Joshua C.\} and Matthew Conomos and Alessandro Culotti and Thomas Desain and Jack Digiovanna and Milan Domazet and Stephanie Gogarten and Alba Gutierrez-Sacristan and Tim Harris and Ben Heavner and Deepti Jain and Brian O{\textquoteright}Connor and Kevin Osborn and Danielle Pillion and Jacob Pleiness and Ken Rice and Garrett Rupp and Arnaud Serret-Larmande and Albert Smith and Stedman, \{Jason P.\} and Adrienne Stilp and Teresa Barsanti and John Cheadle and Christopher Erdmann and Brandy Farlow and Allie Gartland-Gray and Julie Hayes and Hannah Hiles and Paul Kerr and Chris Lenhardt and Tom Madden and Mieczkowska, \{Joanna O.\} and Amanda Miller and Patrick Patton and Marcie Rathbun and Stephanie Suber and Joe Asare",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association.",

year = "2023",

month = jul,

doi = "10.1093/jamia/ocad048",

language = "English",

volume = "30",

pages = "1293--1300",

journal = "Journal of the American Medical Informatics Association",

issn = "1067-5027",

publisher = "Oxford University Press",

number = "7",

}

Ahalt, S, Avillach, P, Boyles, R, Bradford, K, Cox, S, Davis-Dusenbery, B, Grossman, RL, Krishnamurthy, A, Manning, A, Paten, B, Philippakis, A, Borecki, I, Chen, SH, Kaltman, J, Ladwa, S, Schwartz, C, Thomson, A, Davis, S, Leaf, A, Lyons, J, Sheets, E, Bis, JC, Conomos, M, Culotti, A, Desain, T, Digiovanna, J, Domazet, M, Gogarten, S, Gutierrez-Sacristan, A, Harris, T, Heavner, B, Jain, D, O’Connor, B, Osborn, K, Pillion, D, Pleiness, J, Rice, K, Rupp, G, Serret-Larmande, A, Smith, A, Stedman, JP, Stilp, A, Barsanti, T, Cheadle, J, Erdmann, C, Farlow, B, Gartland-Gray, A, Hayes, J, Hiles, H, Kerr, P, Lenhardt, C, Madden, T, Mieczkowska, JO, Miller, A, Patton, P, Rathbun, M, Suber, S & Asare, J 2023, 'Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research', Journal of the American Medical Informatics Association, vol. 30, no. 7, pp. 1293-1300. https://doi.org/10.1093/jamia/ocad048

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T1 - Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research

AU - Ahalt, Stan

AU - Avillach, Paul

AU - Boyles, Rebecca

AU - Bradford, Kira

AU - Cox, Steven

AU - Davis-Dusenbery, Brandi

AU - Grossman, Robert L.

AU - Krishnamurthy, Ashok

AU - Manning, Alisa

AU - Paten, Benedict

AU - Philippakis, Anthony

AU - Borecki, Ingrid

AU - Chen, Shu Hui

AU - Kaltman, Jon

AU - Ladwa, Sweta

AU - Schwartz, Chip

AU - Thomson, Alastair

AU - Davis, Sarah

AU - Leaf, Alison

AU - Lyons, Jessica

AU - Sheets, Elizabeth

AU - Bis, Joshua C.

AU - Conomos, Matthew

AU - Culotti, Alessandro

AU - Desain, Thomas

AU - Digiovanna, Jack

AU - Domazet, Milan

AU - Gogarten, Stephanie

AU - Gutierrez-Sacristan, Alba

AU - Harris, Tim

AU - Heavner, Ben

AU - Jain, Deepti

AU - O’Connor, Brian

AU - Osborn, Kevin

AU - Pillion, Danielle

AU - Pleiness, Jacob

AU - Rice, Ken

AU - Rupp, Garrett

AU - Serret-Larmande, Arnaud

AU - Smith, Albert

AU - Stedman, Jason P.

AU - Stilp, Adrienne

AU - Barsanti, Teresa

AU - Cheadle, John

AU - Erdmann, Christopher

AU - Farlow, Brandy

AU - Gartland-Gray, Allie

AU - Hayes, Julie

AU - Hiles, Hannah

AU - Kerr, Paul

AU - Lenhardt, Chris

AU - Madden, Tom

AU - Mieczkowska, Joanna O.

AU - Miller, Amanda

AU - Patton, Patrick

AU - Rathbun, Marcie

AU - Suber, Stephanie

AU - Asare, Joe

PY - 2023/7

Y1 - 2023/7

N2 - Research increasingly relies on interrogating large-scale data resources. The NIH National Heart, Lung, and Blood Institute developed the NHLBI BioData CatalystsR (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.

AB - Research increasingly relies on interrogating large-scale data resources. The NIH National Heart, Lung, and Blood Institute developed the NHLBI BioData CatalystsR (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.

KW - cloud computing

KW - data analysis

KW - data-driven science

KW - reproducibility of results

KW - team science

UR - https://www.scopus.com/pages/publications/85163921443

U2 - 10.1093/jamia/ocad048

DO - 10.1093/jamia/ocad048

M3 - Article

C2 - 37192819

AN - SCOPUS:85163921443

SN - 1067-5027

VL - 30

SP - 1293

EP - 1300

JO - Journal of the American Medical Informatics Association

JF - Journal of the American Medical Informatics Association

IS - 7

ER -

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

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Keywords

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