Learn how to collect, analyse, manage, and publish experimental research data using analytical techniques, databases, and electronic lab notebooks (ELNs), while applying FAIR principles to enable future reuse.
This NFDI4ING RDM Basics for Engineers series provides a practical introduction to research data management in the engineering sciences, combining basic concepts with hands-on exercises.
NFDI4ING Archetype DORIS, focussed on high-performance measurement and computation (HPC), invites engineers and researchers to attend to its first Summer School in 2026, a a practice-oriented training on modern research data management in engineering sciences.
Save the date: On 26–27 August 2026, TIB Hannover will host a cross-consortia Lunch-to-Lunch event on reference and standards data of buildings.
Explore Research Data Management in the built environment at the hybrid ELLEN Summer School 2026 at TU Dresden.
NFDI4ING, DKZ.2R and OVGU invite engineers and researchers to the NFDI4ING Summer School 2026, a practice-oriented training on modern research data management in engineering sciences. The summer school is designed as an intensive on-site workshop in Aachen.
NFDI4ING invites engineers and researchers to the NFDI4ING Summer School 2026, a practice-oriented training on modern research data management in engineering sciences. The summer school combines online preparatory courses with an intensive on-site workshop in Darmstadt.
This workshop, jointly organized by BAM Division 7.7 Modelling and Simulation and NFDI4ING, brings together experts to discuss verification and validation (V&V) for simulation-driven design, digital twins, and virtual laboratories, focusing on trustworthy models, benchmarking approaches, and reproducible simulation workflows.
This NFDI4ING RDM Basics for Engineers series provides a practical introduction to research data management in the engineering sciences, combining basic concepts with hands-on exercises.
This NFDI4ING RDM Basics for Engineers series provides a practical introduction to research data management in the engineering sciences, combining basic concepts with hands-on exercises.