Count Everything: Integrating Clinical, Genomics, and mHealth APIs across the BD2K Program


Principal Investigator:

Xiaoqian Jiang, PhD, University of California San Diego


Biomedical data is distributed widely within secure silos. However, research questions can frequently only be answered by the integration of data across multiple such silos. One key barrier to such integration is the lack of standard data models and interfaces to the data. We propose a collaborative effort to systematically uncover and extend the limits to which biomedical data can be shared across multiple centers with the outside world. 

The project is an ongoing collaboration between the center for Integrating Data for Analysis, Anonymization and SHaring (iDASH), one of the National Institutes of Health (NIH) National Centers for Biomedical Computing (NCBC), the Biomedical and Healthcare Data Discovery Index Ecosystem (bioCADDIE), and three of the NIH Big Data-to-Knowledge (BD2K) centers: the Patient-Centered Information Commons (PCIC), the Center for Big Data in Translational Genomics (CBDTG) and the Mobilesensor Data-to-Knowledge (MD2K) Center.