Disparate data sources often hold the data in forms that are not compatible with one another and limit a researcher's ability to draw research conclusions on that data. To resolve this problem, the National Center for Advancing Translational Sciences (NCATS) launched the Biomedical Data Translator Program. UNC RENCI has been deeply involved in the development of Data Translator, which seeks to integrate multiple existing types of data sources (e.g. objective signs and symptoms of disease, drug effects, etc.) and will identify any connections to other data types. Such integration requires a clear governance structure to facilitate analytics across multiple domains.