Clinical and Translational Science Research Program

The data should include all persons relevant to the research. For example, drug efficacy and safety studies should include pregnant females and children. Studies of COVID testing should include all persons in the population. Good data representation assures that all patient groups are accounted for in the research. 

Data should be available to all investigators, regardless of domain expertise. A classic example is electronic medical records (EMRs). While researchers with clinical background are generally well educated in EMR data access policy, investigators without this expertise may face challenges in accessing the data. Data scientists with inadequate experience in developing clinical research protocols sometimes struggle with obtaining IRB approval before being granted access to the data. Clinical scientists, on the other hand, have been more successful in requesting access to the data, but they need help in implementing computational tools for rigorous and innovative data analysis.

Dissemination and implementation of research data analysis results and tools can vary with patient populations or contexts. CTS must strive to achieve impact across all members of a population.