Model Based Systems Engineering (MBSE) when executed with a well-structured methodology, enforced by strong processes and governance has shown to lead to significant benefits during program execution. These benefits include reduced cost/schedule, fewer engineering escapes, a well-documented design, improved integration, and fewer defects throughout implementation, test, and verification. The next step in the evolution of MBSE involves the integration of data between our Systems models and the rest of the program execution lifecycle, through use of a Digital Ecosystem. At the heart of the Digital Ecosystem is data, where data from every Authoritative Source of Truth (ASOT) can be associated or linked together to extend the benefits we see from MBSE to the entire execution lifecycle. For this to be successful, we need interoperability not only between our systems model but with all ASOTs across our internal environments as well as interoperability to customer environments. This presentation will describe the importance of data interoperability across the lifecycle and how MBSE is at the core of the ecosystem and the data definition process facilitating Digital Threads and Digital Twins.