Our Mission
Our mission is to prepare Earth System Science (ESS) researchers and enthusiasts to conduct open and sustainable research leveraging NFDI4Earth services. We create and publish openly licensed, modular educational content, curricula, and services for both trainers and learners, available in online and in-person formats. Additionally, we collaborate with researchers who are eager to share their knowledge with the community by cataloging educational materials or funding innovative educational ideas. Learn more about our product by exploring OneStop4All!
NFDI4Earth’s educational portal provides researchers, learners, and educators with access to openly licensed courses, teaching materials, and curricula specifically tailored for FAIR data practices and spatiotemporal data analysis. By incorporating community-driven educational resources and utilizing open-source tools like Open edX and JupyterHub, the platform is designed to be user-friendly and aims to create a lasting impact. It helps users enhance their skills in handling spatial data and promotes open science practices in an interactive environment.
The NFDI4Earth EduHub is an open network for training in spatial data science. Our hubs at Technical University of Munich and the University of Hamburg are effectively integrating modules into their formal curricula. At TUM, the "Python4Engineers" and "Introduction to Rust" modules have recently engaged hundreds of students and accredited PhDs, receiving excellent evaluations and generating interest for expansion. Meanwhile, Hamburg’s “How to Create Publishable netCDF Data” has proven to be a success, establishing itself as a highly anticipated annual event.
NFDI4Earth has successfully supported 11 innovative projects dedicated to advancing open science by creating open educational resources in ESS. These initiatives have produced a wide range of high-quality outputs, including courses, interactive learning units, educational videos, and comprehensive lessons that cover cutting-edge topics such as artificial intelligence and open practices in spatial data analysis. While three of our funded projects are still in development, the results from the others are available on our portal, providing the public with access to a wealth of open educational resources.
Martin Werner
Technical University of Munich
Balthasar Teuscher
Technical University of Munich
Edzer Pebesma
University of Münster
Yomna Eid
University of Münster
Remon Sadikni
University of Hamburg
Kemeng Liu
University of Hamburg