Developed by the Ohio State Department of Biomedical Informatics, Scalable Analytics Registry for Rapid Learning and Translational Science (SCARLET) allows researchers to discover, retrieve and integrate data and knowledge sources related to their research from multiple systems (e.g., data warehouses, project-specific databases, bio-specimen repositories, etc.), with a single query. SCARLET provides a robust platform for secure information exchange, discovery, and reuse and ensures that researchers retain ownership and access control for their data. SCARLET is breaking down information silos by combining disparate data sets to discover more meaningful information while maintaining secure locus of control.