The document discusses how data modeling and data governance are related. It defines key terms like data modeling, data governance, and data stewardship. Data modeling requires business involvement, formal accountability, and attention to metadata - which are also traits of solid data governance programs. Therefore, data modeling can be considered a form of data governance. The document also outlines the role of the data modeler in a governance program and how data modeling best practices align with governance best practices. Finally, it discusses how the data model itself can be leveraged as a governance artifact.