By DKZ.2R: Data Cafe Aachen

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!

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Carpentries Workshop - Introduction to Python

• C. Gonzalez
• Training , Workshop , 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.

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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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