The Carpentries Workshop: Python Basics and Plotting

As part of our “Trainings” work package, the DKZ.2R plans to curate and provide a variety of trainings, seminars and courses. We will start by offering an official The Carpentries Workshop on the 17th and 18th of March on the topic of “plotting and programming in Python”. The Carpentries Workshop by DKZ.2R: Python basics and plotting The workshop will be hosted on-site at RWTH Aachen University and is open for up to 25 participants. The workshop material is available online and will be presented by official carpentry instructors who will walk you through the steps and are available for questions the whole time. The course is teaching the very basics of Python and although some experience with other scripting/programming languages is beneficial, no prior knowledge is required for the course. Furthermore, the event is open for participants from all domains. If you are interested in taking part in the workshop you can sign up here.

Data Cafe Cologne

We are happy to announce our very first Data Café which will take place on April 16th at the Mensa Zülpicher Straße in Cologne. We’ll be right next to the Coffee Bar!

the aim of the event is to provide informal consulting opportunities for students, PhD’s, and early PostDocs such as: quick questions on e.g. how to structure your files in a way it makes sense, second opinions on your statistical analysis or data visualization, or even a first chat regarding the possibility of using machine learning methods for your project.

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.