Interoperability, as one of the key competition factors for modern enterprises, describes the ability to establish partnership activities in an environment of unstable market. In some terms, interoperability determines the future of enterprises; so, improving enterprises’ interoperability turns to be a research focus. “Sharing data among heterogeneous partners” is one of the most basic common interoperability problems, which requires a general methodology to serve. Model transformation, which plays a key role in model-driven engineering, provides a possible solution to data sharing problem. A general model transformation methodology, which could shield traditional model transformation practices’ weaknesses: low reusability, contains repetitive tasks, involves huge manual effort, etc., is an ideal solution to data sharing problem. This paper presents a general model transformation methodology “combining semantic check measurement and syntactic check measurement into refined model transformation processes” and the mechanism of using it to serve interoperability’s data sharing issue.