DKZ.2R at the 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.

Archaeoanalysis of Metadata Processing – Hackathon

Date: June 30 (14:00) – July 3, 2026 (12:00) Location: Aachen, Seffenterweg 23 / Kopernikusstr. 6 (IT Center) Catering provided | Bring your own laptop

Registration

To help us plan the event please sign up using this form

When Metadata Becomes Data

What can you really do with bibliographic metadata — and how much knowledge is hiding in plain sight? This hackathon brings together researchers, developers, and students from all disciplines to explore the boundary between metadata and research data.

By DKZ.2R:Fundamentals of Metadata Course

The Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R) will be presenting the Carpentries Course “Fundamentals of Metadata” Developed by the Helmholtz Metadata Collaboration (HMC).

Short Description: This is a fundamentals course targeted at researchers from all fields who want to annotate their research data in a well structured and meaningful way. From the definition and importance of metadata to the use of metadata frameworks using JSON you will discover how to document your data in a hands-on experience.
This event functions as a satellite event to the the DKZ.2R Metadata Challenge, happening on March 12th, also at the University of Bonn. The Data Challenge is the perfect opportunity for anyone who wants to put their new Metadata skills to the test with the option of working with your own data. Find the registration for the Data Challenge using the following link