Table 1.
Conditions for trial informativeness | Departments and cores | Processes | Metrics | Performance |
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1. Importance: Trial hypothesis is likely to inform an important scientific, medical, or policy decision [53–58] |
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2. Design: Trial methods are likely to provide meaningful evidence related to study hypothesis [59–63] |
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3. Feasibility: The trial is likely to be feasible [64–67] |
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4. Integrity: Trial is conducted and analyzed in a scientifically valid manner that is faithful to design [68,69] |
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5. Reporting: Systems are in place to ensure timely, complete and accurate reporting [70,71] |
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Number of Problem Records on ClinicalTrials.gov register | 0 records with problem status in 2023 |
6. Return of Results (RoR): Investigators are counseled on appropriate return of aggregate and individual results, including actionable genetic information |
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7. Data Sharing |
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8. Representative Enrollment |
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ACCTS, advisory committee for clinical and translational science; IRB, institutional review board; TSE, translational science expert/educator; CAB, community advisory board; DSMB, data safety and monitoring board; IT, information technology; TRN, translational research navigation program; R3, research rigor, reproducibility, and reporting program; DSMP, data safety moniroting plan; ICF, informed consent form; CRSO, clinical research support office; RU, Rockefeller University