A critical aspect of the NIH Translational Research roadmap, which seeks to accelerate the delivery of bench-side discoveries to patients bedside, is the management of the provenance metadata that keeps track of the origin and history of data resources as they traverse the path from the bench to the bedside and back. A comprehensive provenance framework is essential for researchers to verify the quality of data, reproduce scientific results published in peer-reviewed literature, validate scientific process, and associate trust value with data and results. Traditional approaches to provenance management have focused on only partial sections of the translational research life cycle and they do not incorporate domain semantics, which is essential to support domain-specific querying and analysis by scientists.