FAIR and Scalable Education

The Galaxy Training Network (GTN) and a Training Infrastructure as a Service (TIaaS)

Authors

DOI:

https://doi.org/10.52825/cordi.v1i.422

Keywords:

Galaxy, Galaxy Training Network, Training, Education, TIaaS

Abstract

The Galaxy Project [1][2] is a widely-used open-source platform for data-driven research that offers an extensive suite of tools and services for analyzing and visualizing large-scale data. Besides Galaxy as data analysis framework, the Galaxy Training Network (GTN; [3][4]) provides a huge collection of training material for researchers, developers and trainers. Among the various features offered by the Galaxy platform, the GTN and the Training Infrastructure as a Service (TiaaS; [5]) stands out as an innovative solution for delivering scalable and flexible training to researchers and educators. TIaaS is built on top of the Galaxy platforms which enable users to request dedicated compute resources for training purposes. This infrastructure, in combination with GTN, provides an excellent solution for delivering high-quality training to researchers and educators around the world, regardless of their geographical location or hardware limitations. One of the key benefits of the GTN is its ability to enable users to create and share training materials for a variety of data analysis workflows, including e.g. genomics, proteomics, and metabolomics but also for imaging and climate data. These training materials can be delivered in various formats, including interactive tutorials, videos, and webinars, and can be accessed from any location with an internet connection. Moreover, the platform offers a wide range of community-contributed training materials that cover a vast array of topics in biomedical research and beyond, making it an invaluable resource for researchers and educators. To use TIaaS, instructors simply need to register their training event in a simple form to get access to the dedicated compute resources. 

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References

The Galaxy Community - Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update; Nucleic Acids Research, Volume 50, Issue W1, 5 July 2022, Pages W345–W351, https://doi.org/10.1093/nar/gkac247 DOI: https://doi.org/10.1093/nar/gkac610

https://galaxyproject.org (accessed Apr. 24, 2023).

Hiltemann & Rasche et al. - Galaxy Training: A powerful framework for teaching! PLoS Comput Biol 19(1): e1010752. https://doi.org/10.1371/journal.pcbi.1010752 DOI: https://doi.org/10.1371/journal.pcbi.1010752

https://training.galaxyproject.org (accessed Apr. 24, 2023).

https://usegalaxy-eu.github.io/tiaas.html (accessed Apr. 24, 2023).

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Published

2023-09-07

How to Cite

Erxleben-Eggenhofer, A., Batut, B., & Müller, T. (2023). FAIR and Scalable Education: The Galaxy Training Network (GTN) and a Training Infrastructure as a Service (TIaaS). Proceedings of the Conference on Research Data Infrastructure , 1. https://doi.org/10.52825/cordi.v1i.422
Received 2023-04-27
Accepted 2023-06-29
Published 2023-09-07