Regensburg 2025 – wissenschaftliches Programm
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MM: Fachverband Metall- und Materialphysik
MM 31: Data-driven Materials Science: Big Data and Worksflows
MM 31.8: Vortrag
Donnerstag, 20. März 2025, 17:00–17:15, H10
NOMAD CAMELS: An Open-Source Solution for Creating FAIR Data from Experiments — •Alexander Fuchs1,2, Johannes Lehmeyer1,2, Michael Krieger1,2, and Heiko Weber1,2 — 1Lehrstuhl für Angewandte Physik, Friedrich-Alexander-Universität Erlangen-Nürnberg — 2FAIRmat Consortium
NOMAD CAMELS is a configurable open-source measurement software. It is suited to control experiments and records fully self-describing experimental data. It has its origins in the field of experimental physics where a wide variety of measurement instruments are used in frequently changing experimental setups and measurement protocols. CAMELS provides a graphical user interface (GUI) which allows the user to configure experiments without the need of programming skills or deep understanding of instrument communication. CAMELS translates user-defined measurement protocols into stand-alone executable Python code for full transparency of the actual measurement sequences. Metadata inflow from Electronic Lab Notebooks (ELNs) and data output into such is well supported for a seamless workflow. CAMELS is designed with a focus on full recording of data and metadata aligned with the NeXus ontology. When shared with others, data produced with CAMELS allow full understanding of the measurement and the resulting data in accordance with the FAIR principles.
Keywords: NFDI; Structured data; Experiments