JMIR Publications

ABSTRACT

Electronic patient data are critical to clinical and translational science, and research patient data repositories (RPDRs) are a central resource for any work in biomedical data science. However, the data science ecosystem, due to its inherently transdisciplinary nature, poses challenges to existing RPDRs and demands expansions and new developments, calling for a wide variety of new functions and capabilities in the administrative, educational, and organizational domains. The power of data science in the business realm is tremendous. In business, it is already viewed as a critical resource, and this will likely occur in healthcare as well. This perspective focuses on best practices in developing RPDRs, and identifies areas which we believe have not received enough attention. These include deployment, contribution calculation, internal talent marketplaces, data partnerships, data sovereigns’ new capital assets, and cross-border data sharing.