DKZ.2R@ INFORMATIK 2025

Date

Category

Location

Sep 16-19, 2025

Event

Potsdam

More Information

Date: Sep 16-19, 2025

Category: Event

Location: Potsdam

More Information

For the 55th time the German Computer Science Society is celebrating the INFORMATIK Festival, an event dedicated to networking and the exchange of information and skills between people working in computer science. This year’s event is hosted by the University Potsdam. The DKZ.2R will be taking part in the “Data-Science-Community Workshop” on the first day of the festival. The overarching goal of this workshop is to build bridges and strengthen connections between different data-science related projects like the Data Literacy Centers and other projects receiving permanent funding such as the different NFDI consortia. The DKZ.2R is also taking part in the “RDSC: Research Data and Software Competencies” workshop.

We’re looking forward to seeing familiar faces and meeting new people in Potsdam!

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.

Call for participation

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

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!

Do's and Don'ts in Research Data Management

C. Hillen
Data , RDM

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
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