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NOMAD: a platform for research data management in materials science
Summary
This presentation introduces NOMAD, an open-source research data management platform for materials science, in the context of a microplastics research seminar. The slides demonstrate how NOMAD helps researchers manage, document, and share heterogeneous experimental data using FAIR (Findable, Accessible, Interoperable, Reusable) data principles. While tangentially connected to the CRC 1357 Microplastics research consortium, this is primarily an informatics and data infrastructure resource rather than a microplastics research paper.
These slides accompany a seminar presented as part of the CRC 1357 Microplastics Seminar during the 2025/26 winter semester at the University of Bayreuth. The presentation introduces NOMAD, an open-source, community-driven research data platform developed by FAIRmat, a consortium of the German National Research Data Infrastructure (NFDI). NOMAD addresses key challenges in research data management (RDM) in condensed matter physics and materials science, where data are often heterogeneous and distributed across formats with insufficient documentation. The presentation emphasizes the importance of structured, FAIR (findable, accessible, interoperable, and reusable) data practices and demonstrates how NOMAD supports the entire research data lifecycle, including data ingestion, metadata enrichment, publication, exploration, and analysis. The presentation discusses both experimental and computational data workflows, highlighting schema-based data models, FAIR-compliant metadata, search and discovery mechanisms, and integrated analysis capabilities. These slides are intended for researchers, Ph.D. candidates, and research data management professionals interested in sustainable FAIR data infrastructures for materials science.
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