A workshop offering hands-on experience with FAIR tools and practices.

Get a practice-oriented introduction to Research Data Management challenges faced by researchers like Fiona!

The Summer School takes place from August 4th to 6th 2026 on-site in Aachen at the RWTH Aachen University’s IT Center (Seffenter Weg 23, 52074 Aachen).

Topics Included in the Summer School are:

  • Why RDM is important to your work
  • Documenting your experimental setup
  • Recording data using your phone as example
  • Metadata management using engineering terms
  • Simple data analysis using Jupyter Notebooks
  • Publishing your data for others to reuse it
  • Data archiving for long term availability

Participants will gain hands-on experience with FAIR tools, concepts, and best practices to enable transparent, reusable, and verifiable research. We will provide a comprehensive introduction with practical exercises and our experimental case for FAIR data management, demonstrating the application of software, concepts and best practice from NFDI4ING & DKZ.2R beginning with the planning of an experiment to the publication of data and results.

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Do's and Don'ts in Research Data Management

Do's and Don'ts in Research Data Management

Research Data Management Do’s and Don’ts - Step up your RDM skills!

1. Structuring and naming your folders There is an easy way to make your data findable for you and your team: establish a folder structure which makes sense for you and your working group as well as naming conventions for your folders.

Don’t:

Paul and Suzie
»Guideline
>application
»version2_final
»v.3
»review
»3rd.version
>JD
»qn
»0-1

Instead do:

000_int_orga
»01_application
»02_review 120_questionaires
»01_qualitative »02_quantitative 130_data
»01_qualitative »02_quantitative

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