C4 INF
Research data management and analysis strategies
Prof. Dr. Dagmar Waltemath
This project provides a centralized platform for managing, integrating, and sharing research data. C4 INF offers a comprehensive RDM (research data management) strategy, ensuring that research objects are FAIR (Findable, Accessible, Interoperable, and Reusable) and managed in TRUST-compliant (Transparency, Responsibility, User focus, Sustainability, Technology) repositories. The repository will evolve into a dynamic knowledge base, enabling intuitive data contribution, access, and interaction. Advanced search and classification capabilities will facilitate data exploration, promoting cross-disciplinary collaboration and deeper insights.
Subproject Team
Publications
The ISME Journal, Volume 20
March 2026
Fructan utilization by members of marine Gammaproteobacteria involves SusC/D-like proteins
Marie-Katherin Zühlke, Alexandra Bahr, Daniel Bartosik, Vipul Solanki, Michelle Teune, Norma Welsch, Frank Unfried, Tristan Barbeyron, Elizabeth Ficko-Blean, Paula Schoppmeier, Laurie Schiller, Nahja Busse, Disha Banerjee, Lionel Cladière, Alexandra Jeudy, Anne Susemihl, Fabian Hartmann, Diane Jouanneau, Murielle Jam, Matthias Höhne, Mihaela Delcea, Greta Reintjes, Uwe T Bornscheuer, Dörte Becher, Jan-Hendrik Hehemann, Mirjam Czjzek, Thomas Schweder
A1 | A3
B1 | B2 | B3
C2 | C3