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The Pandemic Response Commons.
Trunnell, Matthew; Frankenberger, Casey; Hota, Bala; Hughes, Troy; Martinov, Plamen; Ravichandran, Urmila; Shah, Nirav S; Grossman, Robert L.
Affiliation
  • Trunnell M; Open Commons Consortium, Chicago, IL 60607, United States.
  • Frankenberger C; Rush University Medical Center, Chicago, IL 60612, United States.
  • Hota B; Rush University Medical Center, Chicago, IL 60612, United States.
  • Hughes T; Center for Translational Data Science, University of Chicago, Chicago, IL 60615, United States.
  • Martinov P; Open Commons Consortium, Chicago, IL 60607, United States.
  • Ravichandran U; NorthShore University HealthSystem, Evanston, IL 60201, United States.
  • Shah NS; NorthShore University HealthSystem, Evanston, IL 60201, United States.
  • Grossman RL; Center for Translational Data Science, University of Chicago, Chicago, IL 60615, United States.
JAMIA Open ; 7(2): ooae025, 2024 Jul.
Article de En | MEDLINE | ID: mdl-38617994
ABSTRACT

Objectives:

A data commons is a software platform for managing, curating, analyzing, and sharing data with a community. The Pandemic Response Commons (PRC) is a data commons designed to provide a data platform for researchers studying an epidemic or pandemic.

Methods:

The PRC was developed using the open source Gen3 data platform and is based upon consortium, data, and platform agreements developed by the not-for-profit Open Commons Consortium. A formal consortium of Chicagoland area organizations was formed to develop and operate the PRC.

Results:

The consortium developed a general PRC and an instance of it for the Chicagoland region called the Chicagoland COVID-19 Commons. A Gen3 data platform was set up and operated with policies, procedures, and controls for a NIST SP 800-53 revision 4 Moderate system. A consensus data model for the commons was developed, and a variety of datasets were curated, harmonized and ingested, including statistical summary data about COVID cases, patient level clinical data, and SARS-CoV-2 viral variant data. Discussion and

conclusions:

Given the various legal and data agreements required to operate a data commons, a PRC is designed to be in place and operating at a low level prior to the occurrence of an epidemic, with the activities increasing as required during an epidemic. A regional instance of a PRC can also be part of a broader data ecosystem or data mesh consisting of multiple regional commons supporting pandemic response through sharing regional data.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: JAMIA Open Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: JAMIA Open Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique