Pandemic Response Commons Consortium Mission

The Pandemic Response Commons Consortium (PRC) is an emerging private-public partnership to develop and operate an open, standards-based data commons for pandemic response that is designed to be part of broader data ecosystem that supports researchers, public health officials, and local and state decision makers working on the COVID-19 pandemic.

www.pandemicresponsecommons.org

 

Chicagoland COVID-19 Commons

Our first regional instance, The Chicagoland COVID-19 Commons (CCC), will use the data contribution of 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. In return, our members will have the potential to apply the collective clinical insights generated by the commons. With these capabilities, the data commons will enable clinicians at safety net organizations to yield insights on similar populations.

The CCC has three primary goals:

(1) serve as a centralized location for local COVID-19 clinical data, research data and mobility data (i.e., data donated via the C19C mobile application COVIDStoplight that allows area residents to share symptom data)

(2) enable clinicians with a range of bioinformatic abilities easy access to tools and workspaces (e.g., Jupyter and RStudio) to conduct practical analyses and predictive modeling

(3) host a collaborative table with active working groups for the community to design, discuss and activate solutions based on the data.

These goals capitalize on regional strengths – i.e., a diverse set of local stakeholders with mutual interest in rapid prototyping solutions, a robust landscape of safety-net health care providers and community advocates eager to bring relief to the community – and at the same time aim to accelerate our ability to combat the virus. Outside of the PRC, there are no data commons providing local infrastructure to enable this type of rapid data sharing, learning and responsiveness.