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Tue Mar 24 2026 - Wed Mar 25 Past

Tue - Wed 24 Mar 2026 - 25 Mar 2026Past

FDM-Werkstatt 2026

Community Workshop | 23–25 March 2026 | Heinrich Heine University Düsseldorf

We are excited to announce that DKZ.2R is participating in this year’s FDM-Werkstatt, the annual community workshop organized by fdm.nrw around the tools and practices of Research Data Management (RDM).

The fourth edition of the FDM-Werkstatt brings together researchers, data stewards, and developers from across NRW and beyond for three days of hands-on sessions, collaborative problem-solving, and peer exchange. This year’s event is organized in cooperation with the RDM Competence Centre of Heinrich Heine University Düsseldorf, CEPLAS, DataPLANT, and NFDI4BIOIMAGE.

DKZ.2R contributes two sessions — one on Tuesday, one on Wednesday. Both are hands-on, practical, and open to anyone with a basic technical background.

→ Full programme and registration: fdm.nrw/fdm-werkstatt

Session 1 — Tuesday, 24 March | 02:00–05:00 PM | Room BSR 4A/4B

Resilient Technologies – ROOT Tools for Sustainable, Reproducible Research Data Management

🎯 Level: Advanced | ⏱ 3 hours

Long before containers, cloud storage, and complex data pipelines, researchers relied on a set of robust, plain-text command-line tools that have proven themselves over decades: Emacs/Org-mode, sed, grep, awk, curl, make, tar. These are not relics — they are the ROOT of resilient, sustainable RDM.

Working through a concrete use case — analysing a dataset on collaborations among NFDI consortia — participants will build a complete, reproducible RDM workflow covering data acquisition, validation, transformation, documentation, and archiving. Every step is transparent, auditable, and free of proprietary dependencies.

Prerequisites: Basic CLI knowledge | Laptop with shell access | Emacs (preferably Doom Emacs) | Standard Unix tools (curl, grep, sed, awk, make, tar)

Led by Lukas C. Bossert (RWTH Aachen University / DKZ.2R)

Session 2 — Wednesday, 25 March | 09:00–12:00 PM | Room BSR 2

Building Interactive Visualizations with Streamlit in Python

🎯 Level: Advanced | ⏱ 3 hours

This workshop introduces Streamlit, a lightweight Python framework for building interactive data applications directly from a script - no web development experience required. Participants will build a complete example project: retrieving metadata from a Coscine resource and displaying it in a live, interactive dashboard that updates as new data is added.

Prerequisites: Basic Python knowledge | Python 3.11 or greater installed

Led by Jonathan Hartman (RWTH Aachen University / DKZ.2R) & the Coscine Service Management Team

Both sessions are part of the FDM-Werkstatt 2026, organized by fdm.nrw in cooperation with Heinrich Heine University Düsseldorf, CEPLAS, DataPLANT, and NFDI4BIOIMAGE.

Tags:

How To: Good Scientific Practice

C. Hillen
Data , RDM , 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:

CoRDI 2025

From the 26th to 28th of August 2025, the RWTH Aachen is hosting the second edition of the Conference on Research Data Infrastructure (CoRDI). The CoRDI stands for more knowledge through better use of research data and the resulting added value for society.

The DKZ.2R is looking forward to taking part in the conference and establishing new contacts. Find more information on the CorDI conference website.

Event Details:

Time: August 26 - 28, 2025
Location: C.A.R.L. (acronym for Central Auditorium for Research and Learning), RWTH Aachen University, Claßenstraße 11, 52072 Aachen

Data Stewardship goes Germany

On the 11th and 12th of September the RWTH Aachen is hosting the third Data Stewardship goes Germany event. The event was founded by TU9, an alliance of leading technical universities in Germany as a networking workshop for participants working in Research Data Management in Science and Technology. This year’s event is focused on the participants and their networks regarding Data Stewardship. As DKZ.2R we are offering different consulting-services and support structures for scientists working with research data. We are therefore very happy to be taking part in the DsgG workshop and connect with other people involved in supporting scientists in their work with ever-increasing amounts of data.