NeXus Ontology and its Use for FAIR Experimental Data

Motivating impulses from the lecture series, organized by DAPHNE4NFDI TA1: Data for science.

The aim of this talk is to provide the audience with a clear understanding of how the community-driven NeXus data model and its formal ontological representation can be extended by specific experimental communities and seamlessly integrated into the NOMAD platform to achieve end-to-end FAIR compliance for experimental data.

Title: NeXus Ontology and its Use for FAIR Experimental Data
By: Sandor Brockhauser, FAIRmat / Humboldt-Universität zu Berlin
Abstract: The FAIR principles - Findability, Accessibility, Interoperability, and Reusability - have become central to the management of scientific data. In experimental science, where data complexity and heterogeneity pose significant challenges, semantic technologies offer a robust approach to ensure FAIR compliance. This talk introduces the NeXus Ontology, a formal, machine-readable representation of the widely used NeXus data format. Experimental metadata linked to ontological concepts enable improved metadata annotation and search functions. We show how the NeXus Ontology is integrated into the NOMAD research data management system, which supports the entire experimental data lifecycle - from acquisition and processing to archiving and reuse.