NFDI4Chem

NFDI4Chem is an initiative to build an open and FAIR infrastructure for research data management in chemistry.

The vision of NFDI4Chem is to provide a sustainable infrastructure for research data management. NFDI4Chem supports scientists in their efforts to collect, store, analyze, disclose and reuse research data in chemistry. The overarching goal is to set up and maintain a national research data infrastructure for the research area of ​​chemistry in Germany and to enable innovative services and science based on research data.

NFDI4Chem promotes the digitization of chemistry by

• digitization of data collection with the help of electronic laboratory notebooks and networked laboratory infrastructure
• digitization of workflows for data analysis
• development and use of open data standards
• standardizing the annotation of research data
• provision of repositories for the publication of research data
• training and education
• international cooperations

Researchers from the University of Stuttgart contribute to NFDI4Chem within the framework of research projects in the Cluster of Excellence "Data-integrated simulation science" (EXC2075) and the Collaborative Research Center "Molecular heterogeneous catalysis in defined, directing geometries" (SFB1333).

The aim of the project PN2-6 "Software-driven RDM, a generic and extensible bottom-up research data management concept and its application in biocatalysis and beyond" (EXC2075) is the development and implementation of a generic research data management concept that combines software and data formats based on an object-based data model and its application to the analysis of enzymatic data. The RDM concept is based on the EnzymeML toolbox, which was developed to advance the digitization of biocatalysis.

In the INF project "F.A.I.R. data management in molecular heterogeneous catalysis" (SFB1333), project-specific workflows are being developed to collect data via electronic laboratory notebooks and then to analyze and publish them. The INF project combines data management solutions in the fields of catalysis, analytics, materials science, process development and modeling.