06/04/2026
The health sector is generating unprecedented volumes of digital data—from clinical records to genomics and population health. But more data has not meant easier access for researchers. Fragmented systems, regulatory complexity, and technical barriers continue to slow progress.
To address these challenges, the School of Public Health’s Center for Health Data Science (CHDS) has launched DataHub, a new initiative designed to transform how researchers discover, access, and work with health data.
DataHub acts as both a gateway and a guide. It connects researchers to high-value datasets, leveraging the center’s rich data inventory and governance expertise to facilitate responsible and effective access and use. It also enables AI-enabled research by helping ensure that underlying data are curated, organized in ways that allow them to work across systems and disciplines, and traceable.
“Researchers are often working with complex data, but the systems for discovering, accessing, and connecting those data have not evolved nearly as quickly,” says Debbie Cheng, executive director of CHDS and professor of biostatistics.
“DataHub is designed to help lower those barriers and make it easier for researchers to work with data in rigorous, collaborative, and responsible ways.”
Learn more ➡️http://spr.ly/6182B8qECw
The new initiative, led by Debbie Cheng, targets the growing scale and complexity of health data, removing systemic barriers to data discovery and cross-disciplinary collaboration.