Summer Schools
Upcoming Summer Schools: ALEX’ Summer School starting June 30, 2026
More information and registration available here.
The NFDI4ING Summer Schools offer participants a hands-on introduction to research data management (RDM) in the engineering sciences.
NFDI4ING’s Summer School program is meant to offer a practical and comprehensive introduction into efficient research workflows that yield well-documented and re-usable data. It introduces NFDI4ING core services such as RDMO, Coscine, RADAR4ING or ING.GRID and their application in engineering sciences. The program is customized to different research workflows according to our Archetypes.
Aims and target audience
The summer school aligns with the larger NFDI4ING mission to make research more transparent, sustainable, and reproducible by integrating FAIR data management practices into the everyday routines of engineering researchers.
The program is targeted at PhD candidates and the staff of institutes or SFB/TRR projects that need to produce, share and publish comprehensible and replicable data and therefore need to ramp-up their theoretical and practical skills in modern research data management.
Impressions from ALEX' Summer school 2025












The first NFDI4ING Summer School was organized for Archetype ALEX (“Bespoke, one-of-a-kind experiments”) at the Chair of Fluid Systems (TU Darmstadt) in 2025. The three-day program guided participants through the full data lifecycle of a small experiment conducted using Raspberry-PIs. The agenda followed a practical experimental workflow:
- Day 1 focused on designing and documenting the experimental setup,
- Day 2 covered data collection, analysis, and workflow documentation,
- Day 3 concluded with the publication of data and visualizations as FAIR digital objects.
Throughout the event, participants gained valuable insights into RDM practices and learned how NFDI4ING tools can be effectively integrated into daily research routines. While the focus was on a physical experiment, the methods discussed are broadly applicable to simulation and other scientific workflows. In total 14 researchers from different German (TU Dortmund, Hochschule Rhein-Main, Universität Duisburg-Essen, Ruhr-Universität Bochum, Uni Rostock, FAU Erlangen-Nürnberg, TU Chemnitz, Leibniz Universität Hannover) and Austrian (Universität Innsbruck) universities participated in the Summer School.
The positive reception by participants reflects a growing recognition of RDM as an important academic competency. We are happy to share materials and experiences with faculty members interested in embedding similar practices into their curricula or research groups.