Metadata Application Profile Provenance with Extensible Authoring Format and PAV Ontology Metadata application profiles (MAP) serve a critical role in the of metadata interoperability. Singapore framework recommends publishing the application profiles as documentation, with detailed usage guidelines aimed to maximize reusability and interoperability. Authoring, maintenance, versioning, and ensuring the availability of previous versions along with changelogs are vital steps involved in MAP publishing. The longevity of the schema is a critical part of metadata longevity. MAP should provide sufficient administrative information and versioning to ensure the provenance and longevity as a record of changes of the metadata instance. The authors propose to include actionable changelogs and provenance information within an extensible MAP authoring format. The proposal also includes a recommendation on MAP versioning and publishing with PAV, a lightweight ontology for Provenance, Authoring, and Versioning.

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.