FAIR and Scalable Education

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.