Data Resources
Georgia Center for Diabetes Translation Research Data Repository
GCDTR's primary mission is to empower individuals to conduct equitable diabetes research. It is dedicated to facilitating practice, program, and policy research by leveraging local, regional, and national databases to enhance decision-making in diabetes prevention and management. The collective data it provides offers a comprehensive understanding of disease burden, healthcare costs, utilization, and more, all with a steadfast commitment to health equity.
With the GCDTR Data Repository, individuals are invited to explore the extensive collection, collaborate with fellow researchers, and join the organization in making a meaningful difference in diabetes research and health equity. The GCDTR Data Repository can be accessed by visiting this link.
Social Determinants of Health Database (SDOH-RD)
AHRQ's database on Social Determinants of Health (SDOH) was created by a project funded by the Patient Centered Outcomes Research (PCOR) Trust Fund. The purpose of this project is to create easy to use, easily linkable SDOH-focused data to use in PCOR research, inform approaches to address emerging health issues, and ultimately contribute to improved health outcomes. The database was developed to make it easier to find a range of well documented, readily linkable SDOH variables across domains without having to access multiple source files, facilitating SDOH research and analysis. Data can be downloaded directly from the website.
Synthetic Healthcare Database for Research (SyH-DR)
The Synthetic Healthcare Database for Research (SyH-DR) is an all-payer, nationally representative claims database. It consists of a sample of inpatient, outpatient, and prescription drug claims for people insured by Medicare, Medicaid, or commercial health insurance in 2016, including utilization, payment, and enrollment information. AHRQ created SyH-DR, in part, as a resource to facilitate improvements to price and quality transparency in healthcare. While there is no cost, SyH-DR access requires an application and data use agreement prior to use.
Epic Cosmos Data
Epic Cosmos is Epic Systems’ expansive research platform that aggregates de-identified patient data from multiple health systems. It provides a robust, secure environment for health services research by streamlining access to real-world clinical data. This platform is designed to help researchers analyze trends in patient outcomes, resource utilization, and care quality across large populations, enabling faster, evidence-based insights that support better decision-making and improved healthcare delivery. To request access to this data, click here. The HSR Center, in partnership with the Georgia CTSA, can help to facilitate Cosmos access and to determine whether Cosmos is an appropriate data source for the questions investigators are posing. For any Cosmos related questions or to request a consultation, contact Dr. Jessica Harding at jessica.harding@emory.edu.
Emory Clinical Warehouse Data
This secure form, maintained by Emory’s Office of Information Technology, facilitates data access requests for research or institutional purposes. Emory faculty, staff, and students may use it to request datasets, in accordance with HIPAA and institutional compliance policies. Requests may require IRB documentation and are subject to data use agreements when protected information is involved.
CTSA Bioinformatics Program
The Georgia CTSA Informatics Program is a collaborative effort of Emory University, Morehouse School of Medicine (MSM), Georgia Institute of Technology (Georgia Tech), University of Georgia (UGA) and affiliated institutions. The program brings together a unique assembly of talent and information technology to support a wide range of Georgia CTSA investigator projects. The team consists of experts in biomedical informatics, computer science, and information technology from the Georgia CTSA partner institutions. Informatics focuses on linkages and integration of translational and clinical/health systems (existing and new electronic records systems, including patient data repositories and Clinical Data Warehouses at partnering institutions).