NFDI4ING RDM Basics for Engineers – Book your own

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.

Offer

We offer this lecture series as a dedicated course for institutions or larger groups, tailored to specific needs.

The format is suitable for:

  • students and teaching programmes
  • PhD candidates and early-career researchers
  • research groups and projects
  • Universities of Applied Sciences (HAWs) and other institutions

No prior knowledge is required.

Format

The course consists of four sessions, each lasting 90 minutes, combining a lecture part with hands-on exercises.

  • Format: online (on-site options upon request)
  • Language: German (English available upon request)
  • Group size: typically from approx. 15 participants
  • Cost: free of charge

A certificate of attendance can be issued upon completion of the course.

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 
Motivation, fundamental concepts, engineering-specific challenges, and first steps towards implementing RDM in practice.

Part 2: Best Practices in Research Data Management 
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 
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 
Application of FAIR principles to research software, including approaches for verification, validation, and sustainable reuse.

Booking

Institutions or larger groups can book a dedicated course tailored to their needs. It is suitable for offering the programme to students or larger groups, typically from around 15 participants onwards. The content can be adapted to meet specific needs and requirements.

If you are interested, please contact our HelpDesk.