The Pandemic Response Commons
Author:
Trunnell Matthew1, Frankenberger Casey2, Hota Bala2, Hughes Troy3, Martinov Plamen1, Ravichandran Urmila4, Shah Nirav S4ORCID, Grossman Robert L3ORCID, , Frankenberger Casey A, Grossman Robert L, Hota Bala, Hughes Troy, Kuffel Gina R, Martinov Plamen, Ribeyre Pauline, Savatore Lea, Shah Nirav, Swirsky Eric S, Trunnell Matthew, Krive Jacob, Holper Tim, Roesch Pamela T, Shah Nirav, Simmons J Alan, Swirsky Eric, Schumm L Philip, Locey Kenneth J, Grossman Robert L, Zhang Zhenyu, Giurcanu Mihai, McKinney Suzet, Willding Stephanie D, Jay Kim, Roesch Pamela T, Swirsky Eric, Salvatore Lea, Grossman Robert L, Hoffman Michelle B, Gagnon Keith T, Sinha Koushik, Trunnell Matthew
Affiliation:
1. Open Commons Consortium , Chicago, IL 60607, United States 2. Rush University Medical Center , Chicago, IL 60612, United States 3. Center for Translational Data Science, University of Chicago , Chicago, IL 60615, United States 4. NorthShore University HealthSystem , Evanston, IL 60201, United States
Abstract
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.
Funder
Chicago Community Trust Walder Foundation Amazon Diagnostic Development Initiative
Publisher
Oxford University Press (OUP)
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