In a Multi-Discriplinary Environment, individual disciplines work on individual data models. To enable efficient data exchange between these disciplines and related data models, a discipline-connecting data model is used. Often this discipline-connecting data model includes selected and relevant data entities from all related models to enable linking these isolated data models for data exchange and consistency checking.

Paper: Biffl S., Lüder A., Rinker F.: Waltersdorfer L.: Efficient Engineering Data Exchange in Multi-Disciplinary Systems Engineering Enterprises, Proceedings of CAISE, 2019 [Springer]