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.

Related Posts

Documentation From User Experience

Documentation From User Experience

This post is a condensed version of a talk at our Data Compentcy College

If you regularly use scientific software written by others, or tried to replicate interesting research that relies on software, you have probably also invested weeks of work to solve a software problem or even given up on a software because of missing documentation. Finding a project that might be the solution to your problem and then failing to run the code is frustrating. Being unable to run a project you have built yourself years ago is even worse. Having experienced all those setbacks myself in the past I want to use this post to channel that frustration to fuel solutions for better documentation for our current and future projects.

Read More

Introduction to Machine Learning with Python and Scikit-Learn

As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a one and a half day carpentries-style workshop on basic machine learning using python and scikit-learn, to be presented at RWTH Aachen University on 24th and 25th of July, 2025. The workshop will cover the following topics:

  • What is Machine Learning / Why bother?
  • Supervised Methods (Regression / Classification)
  • Ensemble Methods
  • Unsupervised Methods (Clustering / Dimensionality Reduction)
  • Neural Networks
  • Ethics and Implications of Machine Learning

Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. If you are interested in taking part in the workshop, you can sign up here.

Read More

Data Cafe Essen

The DKZ.2R team would like to announce that our next Data Café will take place on October 28th at the University Mensa at University Duisburg-Essen in Essen!

This event is designed to provide informal consulting opportunities for students, PhD’s, and early PostDocs. We’ll be here to provide quick answers on topics like:

  • How to structure your research files in a logical way
  • Second opinions on your statistical analysis or data visualization
  • What kinds of machine learning methods could be used for your project
  • Getting started with research data management
  • And anything else you might have questions about!

As a bonus, each consultation comes with a free refreshement!

Read More