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.