Scientific research is becoming increasingly data centric, which requires more effort to manage, share, and publish data. NOMAD is a web-based platform that provides research data management (RDM) for materials-science data. In addition to core RDM functions like uploading and sharing files, NOMAD automatically extracts structured data from supported file formats, normalizes, and converts data from these formats. NOMAD provides an extendable framework for managing not just files, but structured machine-actionable harmonized and interoperable data. This is the basis for a faceted search with domain-specific filters, a comprehensive API, structured data entry via customizable ELNs, integrated data-analysis and machine-learning tools. NOMAD is run as a free public service and can additionally be operated by research institutes. Connecting NOMAD installations through the public services will allow a federated data infrastructure to share data between research institutes and further harmonize RDM within a large research domain such as materials science.
Speaker: José A. Márquez Prieto
Affiliation: Physics Department and CSMB, Humboldt-Universität zu Berlin, Germany
Dr. José A. Márquez is a domain expert in the field of optoelectronic materials and the scientific coordinator of the NFDI (National Research Data Infrastructure) consortium FAIRmat at Humboldt University in Berlin. Márquez's research interests include novel compound semiconductors, high-throughput methods for energy materials, data-driven experimental workflows, materials informatics, and artificial intelligence in general. Currently, he is working alongside the FAIRmat team to develop NOMAD as a FAIR data management platform for experimental materials science.