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RADx-Rad Discoveries & Data: Consortium Coordination Center Program Organization (RADx-rad DCC)

Project Description

Preparing SARS-CoV-2 testing data for reuse requires making the data standardized. This project will use advanced data management to coordinate a consortium of innovative COVID-19 diagnostic technology developers. The partnership between UC San Diego and the University of Texas Health Science Center at Houston brings together informatics/data scientists and infectious diseases specialists who will standardize viral samples, testing and procedures, and data in order to integrate and share data in a meaningful manner. The RADx-rad DCC collaboration is based on three pillars:
  1. Effective administration and coordination among awardees, NIH, and other programs;
  2. Innovative approaches and tools to collect and standardize data and metadata to promote findability, accessibility, interoperability and reuse (FAIR) for data sharing; and
  3. Principled preparation of standardized samples with known quantities of viral loads, and standardized procedures for testing new diagnostics to allow comparison across tests and calibration of new technologies.

Backed by sophisticated HIPAA-compliant cloud services, user friendly web-tools, and extensive support from UCSD’s facilities for computation and for clinical research, the RADx-rad DCC interfaces with other RADx-rad programs and other RADx COVID-19 focused programs at NIH to ensure alignment of awardees, NIH and the public in the pursuit of effective, affordable, and deployable new technologies for testing.

Principal Investigator (PI): Lucila Ohno-Machado (Yale), Eliah Aronoff-Spencer (UCSD), Hua Xu (UT Health)

Staff: Maria Triplett, Alexandra Hubenko, Pritham Ram, Yves Theriault

Grant: 1U24LM013755-01

Start Date: 12/2020

Expected Duration: Four years


Want to find out more?

Visit RADx℠ Radical – COVID-19 Data Coordination Center and NIH RePORTER