RADx Data Hub: A Cloud Platform for FAIR, Harmonized COVID-19 Data

TL;DR

The RADx Data Hub is a cloud-based platform that centralizes and standardizes COVID-19 data to facilitate rapid, FAIR-compliant sharing and analysis for public health research and response.

Contribution

This paper introduces the RADx Data Hub, a scalable, interoperable cloud platform that enables comprehensive COVID-19 data integration following FAIR principles.

Findings

Hosts diverse COVID-19 datasets including clinical, testing, and sensor data

Implements metadata standards and ontology-based tools for interoperability

Supports rapid data sharing and analysis for public health responses

Abstract

The COVID-19 pandemic highlighted the urgent need for robust systems to enable rapid data collection, integration, and analysis for public health responses. Existing approaches often relied on disparate, non-interoperable systems, creating bottlenecks in comprehensive analyses and timely decision-making. To address these challenges, the U.S. National Institutes of Health (NIH) launched the Rapid Acceleration of Diagnostics (RADx) initiative in 2020, with the RADx Data Hub, a centralized repository for de-identified and curated COVID-19 data, as its cornerstone. The RADx Data Hub hosts diverse study data, including clinical data, testing results, smart sensor outputs, self-reported symptoms, and information on social determinants of health. Built on cloud infrastructure, the RADx Data Hub integrates metadata standards, interoperable formats, and ontology-based tools to adhere to the FAIR (Findable, Accessible, Interoperable, Reusable) principles for data sharing. Initially developed for COVID-19 research, its architecture and processes are adaptable to other scientific disciplines. This paper provides an overview of the data hosted by the RADx Data Hub and describes the platform's capabilities and architecture.