As materials sciences produce an ever-expanding volume of data, more effort to manage, share and publish data is required. To address this challenge, the FAIRmat project was created. FAIRmat is a consortium of the German National Research Data Infrastructure (NFDI) that provides the condensed-matter physics and chemical physics of solids communities with the infrastructure, tools, and knowledge to make their research data FAIR (Findable, Accessible, Interoperable, and Reusable).
In particular, in order to achieve interoperability for data of different origins, FAIRmat is contributing to the materials science data management platform called NOMAD. NOMAD lets users extract and publish structured data with rich metadata. It provides a unified way to find, access, interoperate with, and reuse millions of FAIR data from different codes and sources. NOMAD also includes analysis tools and can integrate custom-built tools. NOMAD features flexible, but structured data modelling, and allows custom data ingestion, while providing efficient search capabilities and online visualization of datasets. Several standard data formats are supported by NOMAD including the NeXus format to support experimental data from various techniques.
In this presentation, NeXus is presented as a standardisation platform for community-driven data modelling for experiments. Additionally, other NOMAD features are also presented like the electronic lab notebook, NOMAD ELN, and the remote data analysis platform, NOMAD NORTH. After the presentation, there will be time to discuss how the data management platform NOMAD OASIS can be installed on local compute and storage resources and how it can be used by the labs to organise and work with their research data.
Prof. Sandor Brockhauser is the coordinator of experimental data management at the German National Research Data Infrastructure (NFDI) project ‘FAIRmat’. He has been responsible for the Open Scientific Computing, Controls, and Data Analysis groups at the European XFEL, established and led the Scientific Engineering division at the European Extreme Light Infrastructure Attosecond Light Pulse Source (ELI-ALPS), and was scientist in charge of a beamline at the European Synchrotron Radiation Facility (ESRF) and the European Molecular Biology Laboratory (EMBL) where he also led the Scientific Software Association. Prof Brockhauser graduated at the Technical University of Budapest, Hungary, received his PhD at the University of Leoben, Austria, habilitated at the University of Grenoble, France, and is a research professor at the Doctoral School of Informatics at the University of Szeged, Hungary. Since joining the FAIRmat project in 2021, he has been working at the Humboldt University, Berlin, Germany as the coordinator of Area B – Experiments. His research interests include machine learning, FAIR research data management, data and metadata modelling for experiment techniques used in Materials Science.
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