Sometimes you just need to talk through a data problem with someone who gets it.

That's the idea behind our Data Cafés — informal drop-in sessions where researchers discuss data challenges over coffee. No registration, no slides, just conversation.

Have a look at our past events we had, for example at @rwthaachenuniversity

👉 https://blog.rwth-aachen.de/forschungsdaten/en/2025/07/31/data-cafe-aachen/

#DataCafe #DataLiteracy #Research #Networking

/bos

Data literacy isn't about becoming a data scientist. It's about being able to ask the right questions about data, understand what methods are appropriate, critically evaluate results, and communicate findings clearly.

Every researcher needs these skills, regardless of discipline.
We are here to help.

👉 https://dkz2r.de/about/

#DataLiteracy #Research #DataCompetence #Science

/bos

"thesis_final.docx"
"thesis_final_v2.docx"
"thesis_FINAL_really_final.docx"

There's a better way. Git tracks every change, lets you go back to any version, and makes collaboration painless. It's not just for developers.

👉 https://swcarpentry.github.io/git-novice/

#Git #VersionControl #Research #DataLiteracy

/bos

Still fighting with Word to format your thesis? LaTeX handles citations, cross-references, figures, and formatting automatically — so you can focus on writing, not fixing page breaks.

Our workshop covers everything from setup to submission-ready documents.

Have a look at the self-learn content we created in the style of @thecarpentries

👉 https://dkz2r.github.io/latex-novice-academic-publishing/01-introduction.html

#TeXLaTeX #AcademicWriting #Research #Workshop

/bos

You spent months collecting your data. You documented... nothing.

Sound familiar? Metadata is the difference between data that's reusable in 5 years and a mystery folder called "final_v3_FINAL_real."

Good metadata doesn't have to be complicated. A few consistent habits go a long way.

👉 https://www.go-fair.org/fair-principles/

#ResearchData #Metadata #DataManagement #AcademicLife

/bos

Machine learning isn't just for computer scientists. Linguists use it for text analysis, biologists for image classification, historians for pattern detection in archives.

Our hands-on workshop is designed for researchers from all disciplines — no CS degree required.

👉 https://dkz2r.de/events/2026-04-01_carpentries_machine_learning_intro/

#MachineLearning #Python #ScikitLearn #DataLiteracy

The FDM-Werkstatt is back! Join us March 23–25 at Heinrich Heine University Düsseldorf for three days of hands-on workshops around research data management.

Topics include metadata, #Python, and #Emacs for reproducible workflows. Community-driven, practical, and free.

👉 https://dkz2r.de/events/2026-03-23_fdm_werkstatt/

#FDMWerkstatt #ResearchDataManagement #OpenScience #Workshop