NFDI4ING RDM Basics for Engineers April 2026

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.

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NFDI4ING RDM Basics for Engineers

Our NFDI4ING lecture series RDM Basics for Engineers provides a practical introduction to research data management (RDM) in the engineering sciences.

The series focuses on basic concepts, practical examples, and hands-on exercises. Participants will learn how RDM can be integrated into research workflows from the very beginning. It is designed as a low-threshold entry point and can serve as preparation for more advanced formats such as our Summer Schools.

The lecture series is open to students, PhD candidates, researchers, and members of Universities of Applied Sciences (HAWs) and Collaborative Research Centres (SFBs), as well as anyone interested in research data management. No prior knowledge is required.

Each session lasts 90 minutes and combines a lecture part with hands-on exercises. The lectures are held in German, but can also be offered in English upon request. Participation is free of charge; however, registration is required in advance. After registration, participants will receive the access details for the online sessions.

Program

The lecture series consists of four sessions that introduce key aspects of research data management in engineering:

Part 1: Introduction to Research Data Management in Engineering (22. April, 16-17:30)
Motivation, fundamental concepts, engineering-specific challenges, and first steps towards implementing RDM in practice.

Part 2: Best Practices in Research Data Management (29. April, 16-17:30)
Focus on Data Management Plans (DMPs), introduction to RDMO and RDMO NFDI4ING, including a short live demonstration and practical guidance for handling research data.

Part 3: Metadata and Semantics (6. May, 16-17:30)
Introduction to metadata in practice, differences between human- and machine-readable metadata, and approaches to standardisation and interoperability.

Part 4: FAIR Verification and Validation of Engineering Research Software (13. May, 16-17:30)
Application of FAIR principles to research software, including approaches for verification, validation, and sustainable reuse.

Registration

Participation is free of charge.

Please register via the following form to receive the access details for the sessions: