FAIR and scalable management of small-angle X-ray scattering data
T. Giess, S. Itzigehl, J. Range, R. Schomig, J. R. Bruckner and J. Pleiss, J. Appl. Cryst. 2023, 56, 565-575.
Collaborative Research Center 1333
Molecular Heterogeneous Catalysis in Confined Geometries
F.A.I.R. data management in molecular heterogeneous catalysis consists of three major parts:
The INF project develops research data management solutions in the fields of catalysis, analytics, material science, process engineering, and computational chemistry.
The University of Stuttgart is member of the NFDI consortia NFDI4Chem and NFDI4Cat. The INF project contributes newly developed standards, workflows, and use cases to NFDI, and uses domain-specific repositories, data formats, and ontologies in our research data management solutions.
The INF project simplifies the life of researchers, makes data analysis efficient and reproducible, and contributes to the digitalization of chemistry.”
T. Giess, S. Itzigehl, J. Range, R. Schomig, J. R. Bruckner and J. Pleiss, J. Appl. Cryst. 2023, 56, 565-575.