Making information about clinical trials accessible in a machine interpretable way could aid applications both in clinical care and clinical research, such as patient screening, trial recruitment, trial meta-analysis, trial duplication detection and clinical decision support. We present our standards-based trial metadata repository that captures structured trial information and application-specific formalisms and execution logic supporting a range of relevant applications, with a focus on

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... perability and machine interpretability to enable more efficient support for clinical research and faster knowledge transfer into care, We further exemplify the use of the Trial Metadata Repository for a patient screening application for clinical trials. Additionally, the mechanisms are described to manage the information model of the repository when the scope is enlarged to additional contexts.