Provision of Clinical Data to Support a Nationwide COVID-19 Cohort Collaborative

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 3UL1TR003015-02S2

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2022
  • Known Financial Commitments (USD)

    $50,000
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Karen C Johnston
  • Research Location

    United States of America
  • Lead Research Institution

    University Of Virginia
  • Research Priority Alignment

    N/A
  • Research Category

    13

  • Research Subcategory

    N/A

  • Special Interest Tags

    Data Management and Data Sharing

  • Study Type

    Not applicable

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The unknown and changing characteristics of the SARS-CoV-2 pandemic have severely challenged theUnited States (U.S.) health care systems. The key to addressing many of these challenges is data andinformation sharing. To do this requires bringing together individual level health data from disparate systems intoa common structure that can be analyzed for answers to the important questions about COVID-19. Within the health informatics community there are two approaches to integrating data for analysis: (1)Federated data sharing which keeps the data at individual locations and allows for aggregated queries and (2)Harmonized repository that joins the data from the different sites into one database with a common data modelthat allows for individual or row level queries. While the federated approach is easier to implement and muchmore widely used, the harmonization approach is what is needed to address the challenges of the COVID-19pandemic since it will enable more impactful data analysis on the scientific questions surrounding this disease. The University of Virginia (UVA), the lead site for the cross-state integrated Translational Health ResearchInstitute of Virginia (iTHRIV), is well positioned to serve as an initial, pilot provider of data for the harmonized,analytic database being assembled by the National Center for Advancing Translational Sciences (NCATS)known as the National COVID Cohort Collaborative (N3C). There four reasons iTHRIV can do this at UVA: 1)iTHRIV has implemented the Observational Medical Outcomes Partnership (OMOP) Common Data Model(CDM) and this is not only the accepted CDM for data transfer to N3C but it also the target data transfer modelfor N3C, which will make the iTHRIV CDM a good choice to validate data transforms; 2) The iTHRIV informaticsteam have been active participants in the development of the COVID-19 Phenotype implementation in OMOPand we can thus quickly implement the data queries; 3) The iTHRIV data Commons utilizes an architecture whichincludes multiple CDM and this gives us the capability to expand data acquisition to all partner institutions iniTHRIV and to rapidly respond to changes required in data acquisition and transfer; and 4) The University ofVirginia has an IRB Reliance Agreement in place with SMART IRB and can rely on any non-UVA IRB that alsohas an IRB Reliance Agreement with SMART IRB, which will streamline our start-up process for participation.iTHRIV at UVA therefore provides an ideal pilot site for the N3C project, and brings the iTHRIV Commons andthe iTHRIV partners institutions to rapidly support rapid expansion to other CDM as a model for the largerconsortium. The Commons also provides a leading team-science platform during the follow-on phases of N3Cwhere researchers within Virginia can collaborate with others from around the U.S. and the world to analyze thedata collected in centralized repository by the N3C project and address impactful health problems for thecommunity.