Work

Achieving semantic interoperability in materials science data

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17053392

Authors: Azócar Guzmán, Abril, Sandfeld, Stefan

Institution: Forschungszentrum Jülich

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Award: NFDIMatWerk Nationale Forschungsdateninfrastruktur für Materialwissenschaft & Werkstofftechnik