Supporting the Data Model Integrator in an Engineering Network by Automating Data Integration Data exchange and integration in a heterogeneous engineering network are challenges that an engineering organization has to address. Most practitioners have realized that this challenge requires detailed consideration and involvement of the related engineering disciplines to specify and implement an appropriate data logistics. In this paper, we introduce a metamodel and method for the development of a datamapping infrastructure to support the work of the engineers responsible for data logistics. The metamodel is the foundation for data logistics with automated data transformation, integration, and exchange by automating the mapping of engineering data as envisioned in VDI Guideline 3695. We report on a first validation of the method with a proof of concept using AutomationML.

Quality Risks in the Data Exchange Process for Collaborative CPPS Engineering The realization of a cyberphysical production system (CPPS) requires suitable methods and tools for the exchange and integration of engineering data between collaborating disciplines. Unfortunately, the description languages used in a CPPS Engineering (CPPSE) organization to describe disciplinespecific views are not necessarily well suited for highquality data exchange between workgroups. In this paper, we identify technical debt and risks regarding CPPSE description languages for data exchange using the VDI 3695 guideline as best practice. We report on effects and likely causes of the quality risks identified in a case study at a large CPPSE company. Based on data from workshops and semistructured interviews with 28 domain experts from 12 workgroups, we propose a preliminary model relating causes and effects as foundation for analyzing and managing risks in the CPPSE data exchange process.