Hackathon DKZ.2RxQUADRIGA

On May 8th, the Data Literacy Centers DKZ.2R and QUADRIGA are teaming up for a hackathon on the topic of text-corrections using LLM’s.

This will be an internal event for members of the Data Literacy Centers DKZ.2R and QUADRIGA.

The Data Literacy Center QUADRIGA is primarily focused on creating high-quality educational resources for the digital humanities. In our hackathon we will work on a use casedealing with historical texts from the time of the spanish flu. Channelling our resources and competencies will not only help us to strengthen the connections between our two Data Literacy Centers but will also provide us with a use case on how to use LLMs for the post-correction of automatically recognized historical texts which can be used for training purposes such as Data Challenges and Workshops in a variety of different domains.

Interactive Data Visualizations in Python

As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a half-day workshop on creating and presenting interactive visualizations in python, to be presented at RWTH Aachen University on 4th June, 2025. The workshop will cover data wrangling, creating interactive visualizations using Ploty, and deploying a small web application using Streamlit.

Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. The event is open for participants from all domains, however a basic knowledge of Python is reccomended. If you are interested in taking part in the workshop, you can sign up here.

A Survival Guide to Research Data Sharing Services in the Rhine-Ruhr Region

• A. Janz
• Data , RDM , Data Sharing

A Survival Guide to Research Data Sharing Services in the Rhine-Ruhr Region

There are a lot of reasons why collaborating with other researchers on scientific projects is great! It provides new perspectives and gives you the chance to benefit from other people’s knowledge and input. When it comes to sharing and exchanging data across multiple locations and devices however, researchers are often disoriented and don’t know which tools, cloud services and so on are safe to share data in a secure and ethical way.