Healthcare is at a nexus where the data generated during the course of clinical care can be used to advance both the science and practice of medicine. With the widespread adoption of electronic health records (EHR), driven by the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, most academic centers now have more than ten years of EHR data available for reuse. In addition, hospitals have a fast growing amount of data from sources such as radiology, pathology, and bedside monitoring that are ripe for reuse to improve patient care and to advance scientific discovery. Researchers are able to reuse the collected data to derive novel insights, support patient care, and improve care quality using Artificial Intelligence (AI) approaches. Such efforts can improve the standard of care today and also hold the promise to improve health outcomes and reduce cost of care in the coming years. Goal of STARR is to bring the clinical data from its raw state to “analysis-ready” state and make the data “self-service”.