Tue - Thu 4 Aug 2026 - 6 Aug 2026

Summer School on practice-oriented RDM in engineering sciences.

DKZ.2R x NFDI4Ing

Workshop RWTH Aachen University
Workshop Research Data Management FAIR Data NFDI4Ing
More Info → Register Here →

Registration open until Aug 4, 2026

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

Get a practice-oriented introduction to Research Data Management challenges faced by researches 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.

Tags :

Related Posts

Call for participation

Call for participation

Call for participation!

The Data Literacy Center Rhine-Ruhr (DKZ.2R) issues a call for participation in its “rent-an-expert” project! We offer support for ambitious research projects of PhD students and early postdocs dealing with Data Science and Artificial Intelligence, High Performance Computing and Simulation, and Research Data Management. As the DKZ.2R is funded by the German Federal Ministry of Education and Research (BMBF) as well as the EU, this offer is free of charge!

Read More

By DKZ.2R: Data Visualization with Python

A workshop offered in collaboration with the Graduate center of Bonn University.

In this workshop, we will create a small, interactive application using Streamlit and Plotly, and deploy it to the web using the Streamlit cloud and GitHub. Participants will be guided with the help of live-coded examples and self-paced exercises.

Read More
How To: Good Scientific Practice

How To: Good Scientific Practice

“Scientific integrity forms the basis for trustworthy research”, so it says in the Guidelines for Safeguarding Good Research Practice of the DFG, the German Research Foundation. As a major funder of research in Germany the DFG, as well as many other funders of research in Germany and the European Union, requires researchers to follow a certain set of rules conducting their research. These rules are called “good scientific practice” and have to be followed by researchers to be viable for funding. According to the guidelines researchers are required to “document all information relevant to the production of a research result as clearly as is required by and is appropriate for the relevant subject area to allow the result to be reviewed and assessed”. But good scientific practice is not done by documenting your research. It also includes i.a. protecting the personality rights of your subjects and handling research data in an appropriate manner by e.g. “back(-ing) up research data and results made publicly available, as well as the central materials on which they are based and the research software used, by adequate means according to the standards of the relevant subject area, and retain them for an appropriate period of time.” This is where Research Data Management (RDM) comes in. Of course RDM is much more than just creating a backup of your data on a USB-Stick and handing it over to anyone asking for it. “Good scientific practice” in RDM follows the FAIR principles:

Read More