#00954NOMAD: A Federated Research Data Infrastructure Transforming Materials Science Laboratories

S. Computations for materials – discovery, design and the role of data
J. Marquez Prieto1.
1Humboldt University of Berlin - Berlin (Germany)


Email: jose.marquez@physik.hu-berlin.de (J.Marquez Prieto)
Abstract

NOMAD (www.nomad-lab.eu), developed by the NFDI (Germany’s National Research Data Infrastructure) consortium FAIRmat, is a web-based research data management (RDM) ecosystem for materials with a core focus on the application of FAIR principles from data inception.  

Initially established as a repository for ab initio calculations, NOMAD has evolved into a comprehensive RDM ecosystem for experimental and theoretical materials science. A key advancement in this evolution is NOMAD Oasis, a highly customizable and locally deployable instance of NOMAD. This flexibility enables laboratories to integrate FAIR principles and automation into their unique workflows while maintaining full control over data privacy and sharing. Furthermore, NOMAD Oasis instances can connect to the federated network, enabling seamless data exchange and collaborative research across institutions.  

In this talk, I will present the latest developments in NOMAD. Examples will include its application in perovskite solar cell research, where a group of laboratories has set up a topical, customized NOMAD federation. This federation enables inter-partner data sharing through common data models, automated workflows, and collaborative data analysis, significantly enhancing data shareability on a large scale. I will also discuss NOMAD’s support for curated datasets and newly supported domains, such as molecular dynamics calculations and multidimensional experimental data from advanced characterization techniques. Finally, I will exemplify how partner laboratories have transformed their traditional experimental workflows into digital ecosystems, covering planning, the registration of synthesis and experiments, and conducting inter-project analysis using cloud-based tools on top of the infrastructure.