Find the best datasets for your research question or project.

DiscoverData@Duke is a collaborative effort to provide a one-stop shop for Duke investigators to learn about and access a wealth of data resources.

CTSI and the DHTS Analytics Center of Excellence Research Solutions Team have partnered to connect investigators to local, regional, and national datasets that are crucial for scientific and clinical research.

DiscoverData@Duke Offers:

Consultation Services

Data Query Tools

    Query de-identified patient data from the Duke Health system. To submit a DEDUCE request, visit the Customer Portal.

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    Query EHR data from the Duke EHR and/or the EHRs of members of national network of CTSA institutions (aggregate counts only) via the ACT Network.

Clinical Data Research Networks

Get patient population counts to determine feasibility and find collaborators for local and multi-site studies and clinical trials.

Datasets and Resources

SOAR (Supporting Open Access for Researchers) is a collaboration among members of the Duke Clinical Research Institute (DCRI), academia, and private industry to open clinical research data for the benefit of the broader research community.

View SOAR Data Resources

Giving Duke researchers access to electronic health from different sources to generate new insights into health and healthcare. Provided by the Duke Department of Population Health Sciences.

Population Health DataShare

MURDOCK Data Assets include 430,000 biological samples [serum, plasma, whole blood (DNA), paxgene (RNA) and urine] from 12,526 study participants in the MURDOCK Study Community Registry and Biorepository. The Community Registry includes self-reported data from baseline and annual follow-up questionnaires. Baseline characterization of the cohort included participant identification, contact information, primary physician; date and place of birth; demographics; self-reported health history encompassing 34 disease domains and related procedures; medications and supplements, dietary and physical activity; sleep, tobacco and alcohol use and selected PROMIS participant-reported outcomes domains, socioeconomic data, vital signs (height, weight, and waist circumference). Each participant is geo-spatially mapped at their home street address level to enable attribution of publicaly available social, economic, and natural and built environmental features to the individual using geospatial information systems (ACS and US Census). Participants were also consented for ongoing access to their electronic health records.