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Tue Jun 24 2025 Past

Tue 24 Jun 2025Past

Data Cafe Aachen

Event Aachen (University Library RWTH Aachen University)

The DKZ.2R team would like to annouce that our next Data Café will take place on June 24th at the University Library RWTH Aachen University!

This event is designed to provide informal consulting opportunities for students, PhD’s, and early PostDocs. We’ll be here to provide quick answers on topics like:

How to structure your research files in a logical way
Second opinions on your statistical analysis or data visualization
What kinds of machine learning methods could be used for your project
Getting started with research data management
And anything else you might have questions about!

As a bonus, each consultation comes with a free refreshement!

We’re looking forward to seeing you!

Event Details:

Time: Tuesday, June 24th @ 11am - 3pm, 2025
Location: University Library RWTH Aachen University, Templargraben 61, 52062 Aachen (Directions via OpenStreetMaps, Google Maps)

Tags:

Announcement - Call for participation

A. Janz
Consulting , Data , RDM , HPC , Data Science , Artificial Intelligence , Machine Learning

Update (June 24, 2024)

The call for participation is now open! Read more

Upcoming!

The Data Literacy Center Rhine-Rhur is issuing a call for participation in its “rent-an-expert” project! This is a great opportunity for PhD students and early postdocs who are working on research projects that involve data science, artificial intelligence, high performance computing and simulation, to get free support from our expert consultants.

Support can take the form of short- or long-term consulting, depending on the needs of the project. More info will be available shortly!

How To: Open Science

A. Mielke
Data , RDM , Open Science

Tired of Recreating someone else’s work? - How Open Science can accelerate research and overcome reinvention

Have you ever found papers on algorithms but their implementation is missing? Found an interesting analysis but there is no way to check the results, as you don’t have access to the data they were derived from? Ever thought you had a great idea for a project, just to find out a year later that you are not the only research group following that specific idea? Not having access to other people’s code, data, metrics or even their plans for research projects often leads to unnecessary delays and scientific redundancies. There is an easy solution to overcome (almost) all of these issues. It’s called Open Science! What is Open Science? The UNESCO defines Open Science as a construct of “movements and practices aiming to make multilingual scientific knowledge openly available, accessible and reusable for everyone, to increase scientific collaborations and sharing of information for the benefits of science and society, and to open the processes of scientific knowledge creation, evaluation and communication to societal actors […]”. To ensure that everyone has access to scientific knowledge and infrastructure, Open Science focuses on four main concepts.

Data Challenge - Metadata

Are you ready to put your data skills to the test?

Whether you’re a solo researcher, student, or part of a research group — this is your chance to dive into the world of metadata, file naming, and smart data structuring.

Join us for the DKZ.2R Metadata & Data Structuring Challenge

When? November 7th, 10:00 – 16:00

Where? Seminargebäude University of Cologne

What’s it about?

We’ll kick off the day with a compact, hands-on lecture on best practices in data organization and metadata. Then, it’s your turn to shine: Choose between your own project data or a dataset provided by us. Apply what you’ve learned and enter the Challenge.