Speaker
Description
FAIRmat and NOMAD provide a powerful foundation for FAIR and AI-ready research data management. However, translating these capabilities into real research workflows often requires additional integration, infrastructure, onboarding, and workflow adaptation efforts. In this talk, we present practical experiences from Glaide Data GmbH supporting NOMAD adoption across research groups, consortia, and emerging communities beyond FAIRmat’s core domains. We discuss strategies for integrating NOMAD into existing research environments, evaluating and adapting community plugins and schemas, and accelerating adoption through practical implementation, infrastructure support, training, and onboarding. Through concrete examples, we highlight how these efforts can help extend the impact and reach of the FAIRmat ecosystem.