This Lunch Bite introduces the Architectural RDM Pipeline (ARDMP) and shows how heterogeneous architectural data can be transformed into structured, reusable research data.
A two-day workshop brought together experts from research, cultural heritage, and collections to explore shared approaches and future infrastructures for the unique identification and referencing of buildings.
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.
Roger Winkler presented current work on the Architectural RDM-Pipeline and NFDI4ING at the Design Technology Meetup in Frankfurt am Main, focusing on how curated architectural research data collections can become useful for research and practice beyond individual projects.
Discover the Vocabulary Development Support Service and learn how collaborative terminology management supports standardized, machine-readable vocabularies for improved interoperability.
Explore Research Data Management in the built environment at the hybrid ELLEN Summer School 2026 at TU Dresden.
This Lunch Bite introduces an integrated research data management infrastructure that combines the electronic laboratory notebook eLabFTW with a Data Management Tool to streamline data capture, integration, and analysis in bioprocess engineering.
A new publication by Roger Winkler, Chris Dähne, and Andreas Noback examines challenges of data availability in architectural research, serving as conceptual foundations for the Architectural RDM-Pipeline.
The presentation slides from our RDM Basics for Engineers lecture series are now available on Zenodo as Open Educational Resources. Following two successful public editions, the materials have been revised based on participant feedback and are now openly available for reuse.
From July 6–8, 2026, the second NFDI4ING ALEX’ Summer School took place on-site in Darmstadt, offering participants a hands-on introduction to research data management (RDM) in the engineering sciences.