Mon - Wed 30 Jun 2025 - 2 Jul 2025Past

By WiNoDa, NFDI4ING, NFDI4Objects & DKZ.2R: DataLad Workshop and Hackathon

Event Aachen

This event takes place in English

Organizing decentrally stored data requires more than just a good overview and discipline. The right tool plays a crucial role in successful data management and productive collaboration in research teams. One such tool is DataLad, whose powerful features make it much easier to manage, version and distribute large amounts of data and promote the reproducibility of research processes. To help researchers use DataLad efficiently and deepen their knowledge, the data competence centers DKZ.2R, WiNoDa and the NFDI consortia NFDI4ING and NFDI4Objects are organizing a three-day workshop. From June 30 to July 2, there will be many opportunities to try out practice-oriented content and intensive collaboration with DataLad at the IT Center of RWTH Aachen University.

The first day of the workshop is dedicated to the basics and an introduction to the subject matter. Starting with a compact introduction to Git, the basic concepts and functions of DataLad will then be explained. On the second day, the focus will be on practice: in a “hackathon” session, participants will work in teams on their own projects or use cases. At the end of the workshop, the teams will present their results, providing a comprehensive overview of the various application areas of datalad and stimulating valuable discussions.

The workshop is aimed specifically at FDM experts who want to expand their skills in the field of data management and act as contact persons (“multipliers”) for DataLad in their teams and institutions in the future. Basic knowledge of Git is helpful, but not a prerequisite for participation.

If you are interested, please contact info@dkz2r.de.
The participation for this event is free of charge. Up to 5 people from each organizing institution can take part in the workshop.

Related Posts

Do's and Don'ts in Research Data Management

Do's and Don'ts in Research Data Management

Research Data Management Do’s and Don’ts - Step up your RDM skills!

1. Structuring and naming your folders There is an easy way to make your data findable for you and your team: establish a folder structure which makes sense for you and your working group as well as naming conventions for your folders.

Don’t:

Paul and Suzie
»Guideline
>application
»version2_final
»v.3
»review
»3rd.version
>JD
»qn
»0-1

Instead do:

000_int_orga
»01_application
»02_review 120_questionaires
»01_qualitative »02_quantitative 130_data
»01_qualitative »02_quantitative

Read More
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
Carpentries Workshop - Introduction to Python

Carpentries Workshop - Introduction to Python

Empowering Researchers with Foundational Computing Skills: Join the Upcoming Carpentries Workshop

In today’s fast-paced research environment, the ability to harness computational tools effectively can make a world of difference. Whether you’re managing data or automating tasks, having the right skills can significantly streamline your work. That’s where The Carpentries come in — a global initiative comprising the Software Carpentry, Data Carpentry, and Library Carpentry communities. These communities are dedicated to equipping researchers with essential computational and data science skills, helping them to work smarter, not harder.

Read More