Achieving semantic interoperability in materials science data

The multiscale and multidisciplinary nature of materials leads to complex scientific workflows and highly dimensional data. A lack of structured (meta)data hinders researchers' ability to find, access, interoperate, and reuse data, which are critical limitations for data-driven approaches and enhancing research sustainability. To address the manifold challenges in digitalization efforts within the materials science community, we develop ontologies with the goal of achieving semantic interoperability in the context of NFDI-MatWerk across various applications. The combination of controlled vocabularies and software tools for generating linked data promotes interoperability across file formats and software, while also offering potential for knowledge engineering and AI-ready data, which accelerates materials discovery.