A Collaborative Data Ecosystem to Improve Outcomes from COVID-19
Join a community of clinicians, researchers, students, public health officials, community members and policy-makers to improve health outcomes from COVID-19.
The Pandemic Response Commons (PRC) is a collaborative data ecosystem powering research into COVID-19. Built according to The Open Commons Consortium’s guiding principles, the PRC is an open, standards-based environment that collects, aggregates, and analyzes de-identified clinical, phenotype, genomic, proteomic, image, biospecimen and participant contributed data.
The PRC partners with community stakeholders to improve health outcomes, epidemiological models, and back-to-work models and serve as a model for other regional data commons. Our first regional instance, The Chicagoland COVID-19 Commons, receives weekly data from large medical providers, nonprofit hospitals and safety net partners to help us address the racial and socioeconomic disparities that have been exacerbated by COVID-19 in the Chicagoland and Illinois regions.
How to get involved:
- Contribute Data to the Commons
- The data below is governed by a Data Contributors Agreement between the member providing the data and the PRC. (see https://pandemicresponsecommons.org/data-types/ for more information on how to become a data contributor.)
- Access the Data
- The Pandemic Response Commons allows for clinicians, academic researchers, public health officials, and students with a range of bioinformatics abilities to gain access to tools and workspaces (e.g., Jupyter Notebooks, RStudio) to conduct practical analyses and predictive modeling.
- To apply for access, fill out the online application here https://pandemicresponsecommons.org/enrollment/
- Participate in Working Groups
About
The Pandemic Response Commons (PRC) is a consortium managed by the Center for Computational Science Research, Inc. (CCSR), which is an Illinois based 501(c)(3) not-for-profit corporation. The founding members of the PRC consist of hospital and nonprofit partners who are agreeing to share and co-locate deidentified patient data and convene to ensure this data can inform predictive models related to diagnostics, treatment and the overall behavior of the virus.
CCSR was founded in 2008 and supports several other consortia and data commons, including the Blood Profiling Atlas in Cancer (BloodPAC), Data Mining Group (DMG) and the Open Commons Consortium (OCC).