Distributed Data Network Approach
Our multi-site studies are modeled after the methods, resources and partners we developed through our leadership of the FDA Sentinel Initiative. In this model, standardized analytic programs are distributed to participating research and data partners and executed locally within secure data environments.
The Distributed Data Advantage
Compared with traditional common protocol approaches, where each site independently conducts analyses, distributed programming improves consistency, reduces variability in analytic implementation, and strengthens quality assurance across sites. This approach also avoids redundant effort.
Distributed networks also provide advantages over centralized data aggregation. Because data remain under the control of local institutions, the model supports stronger privacy protections, more flexible governance, and the ability to include partners who cannot share patient-level data externally.
Together, these advantages enable large-scale research while preserving the privacy, security, and stewardship of healthcare data.
