Develops tools and provides recommendations for best practices in capturing data, metadata, and experiment-related information – the foundation for FAIR RDM.

Develops technical infrastructure for transparent, reusable and accessible research data supports FAIR principles and efficient RDM.

Develops and optimizes scientific software for research data analysis as open source and integrates it into workflows.

Building of long-term communication platform by a web portal and networks, training in RDM, workshops and creating synergies between science and industry.

Definition of common data policies, pilot workflows and default practices and European wide cooperation and harmonization of large research facilities.

Project management and warranty of professional software development, including quality assurance and overarching organization.