Evidence map›Paper›PMID 37192819›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

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 and 48 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. The FAIRSCAPE AI-readiness Framework for Biomedical Research.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Metagenomic Study of the MESA: Detection ofJournal of the American Heart Association · 2024
    Article
  13. Review
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

58 authors.

Stan AhaltRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Paul AvillachDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-0235-7543
Rebecca BoylesRTI International, Triangle Park, North Carolina, USA.
Kira BradfordRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Steven CoxRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Brandi Davis-DusenberyVelsera, Boston, Massachusetts, USA.
Robert L GrossmanUniversity of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-3741-5739
Ashok KrishnamurthyRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Alisa ManningThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Benedict PatenUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.ORCID 0000-0001-8863-3539
Anthony PhilippakisThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Ingrid BoreckiIndependent Consultant, BioData Catalyst Steering Committee Chair, St. Louis, Missouri, USA.
Shu Hui ChenNational Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Jon KaltmanNational Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Sweta LadwaAxle Informatics, Rockville, Maryland, USA.
Chip SchwartzCoresoft, LLC, Gaithersburg, Maryland, USA.
Alastair ThomsonNational Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA.
Sarah DavisRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Alison LeafVelsera, Boston, Massachusetts, USA.
Jessica LyonsDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Elizabeth SheetsUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.
Joshua C BisDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Matthew ConomosDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Alessandro CulottiThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Thomas DesainDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Jack DigiovannaVelsera, Boston, Massachusetts, USA.
Milan DomazetVelsera, Boston, Massachusetts, USA.
Stephanie GogartenDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-7231-9745
Alba Gutierrez-SacristanDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-1245-198X
Tim HarrisUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.
Ben HeavnerDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Deepti JainDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Brian O'ConnorNimbus Informatics, San Jose, California, USA.
Kevin OsbornUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.
Danielle PillionDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Jacob PleinessDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Ken RiceDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Garrett RuppVelsera, Boston, Massachusetts, USA.
Arnaud Serret-LarmandeDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Albert SmithDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Jason P StedmanDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Adrienne StilpDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-3910-0776
Teresa BarsantiNimbus Informatics, San Jose, California, USA.
John CheadleRTI International, Triangle Park, North Carolina, USA.
Christopher ErdmannRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Brandy FarlowRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Allie Gartland-GrayRTI International, Triangle Park, North Carolina, USA.
Julie HayesRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Hannah HilesRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Paul KerrRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Chris LenhardtRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Tom MaddenRTI International, Triangle Park, North Carolina, USA.
Joanna O MieczkowskaRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-6482-336X
Amanda MillerRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Patrick PattonRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Marcie RathbunRTI International, Triangle Park, North Carolina, USA.
Stephanie SuberRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Joe AsareRTI International, Triangle Park, North Carolina, USA.

Funding

NHLBI Data Stage Coordinating CenterOT3HL147154 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ashok Kumar Krishnamurthy · 2018 to 2026
$98.9M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142481 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI GROSSMAN, ROBERT L., PATEN, BENEDICT · 2017 to 2020
$24.9M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142478 · NHLBI · SEVEN BRIDGES GENOMICS, INC. · PI DAVIS-DUSENBERY, BRANDI NICOLE · 2017 to 2022
$12.6M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142480 · NHLBI · HARVARD MEDICAL SCHOOL · PI AVILLACH, PAUL · 2017 to 2022
$8.8M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142479 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KRISHNAMURTHY, ASHOK KUMAR · 2017 to 2020
$6.1M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
NHLBI NIH HHS HHSN268201000001INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS OT3 HL142478NHLBI NIH HHS OT3 HL142479NHLBI NIH HHS OT3 HL142480NHLBI NIH HHS OT3 HL142481NHLBI NIH HHS OT3 HL147154NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL120393
6 · The paper itself

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.

Indexed as

Cloud ComputingCOVID-19EcosystemHumansLungReproducibility of ResultsSoftwarecloud computingdata analysisdata-driven sciencereproducibility of resultsteam science

Identifiers

PMID37192819
PMCPMC10280347

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.