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,...
NOMAD Actions provide a framework for executing complex or resource-intensive workflows within NOMAD. They are ideal for tasks that require special resources like GPUs, have long execution times, or need to interact with external systems, offering a more powerful alternative to standard normalizers.
Built as plugin entry points, Actions use Temporal.io to orchestrate workflows made up of...
Scientific progress increasingly depends on the ability to transform unstructured information into accessible, structured data. However, the rapid growth of scientific literature has made manual data extraction and curation a major bottleneck across disciplines. Recent advances in artificial intelligence offer new opportunities to automate this process and unlock knowledge at unprecedented...