Hiltemann, Saskia, Rasche, Helena, Gladman, Simon, Hotz, Hans-Rudolf, Larivière, Delphine, Blankenberg, Daniel, Jagtap, Pratik D., Wollmann, Thomas, Bretaudeau, Anthony, Goué, Nadia, Griffin, Timothy J., Royaux, Coline, Le Bras, Yvan, Mehta, Subina, Syme, Anna, Coppens, Frederik, Droesbeke, Bert, Soranzo, Nicola, Bacon, Wendi, Psomopoulos, Fotis, Gallardo-Alba, Cristóbal, Davis, John, Föll, Melanie Christine, Fahrner, Matthias, Doyle, Maria A., Serrano-Solano, Beatriz, Fouilloux, Anne Claire, van Heusden, Peter, Maier, Wolfgang, Clements, Dave, Heyl, Florian, on behalf of the Galaxy Training Network, [ missing ], Grüning, Björn, Batut, Bérénice, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Albert-Ludwigs-Universität Freiburg, University of Melbourne, Friedrich Miescher Institute for Biomedical Research (FMI), Novartis Research Foundation, Pennsylvania State University (Penn State), Penn State System, Department of Genomic Medicine [Lerner Research Institute, Cleveland Clinic], Lerner Research Institute [Cleveland, OH, USA], Cleveland Clinic-Cleveland Clinic, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Heidelberg University, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Plateforme bioinformatique GenOuest [Rennes], Université de Rennes (UR)-Plateforme Génomique Santé Biogenouest®-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Université Clermont Auvergne (UCA), Muséum National d' Histoire Naturelle [Concarneau], Universiteit Gent = Ghent University (UGENT), Earlham Institute [Norwich], The Open University [Milton Keynes] (OU), Centre for Research and Technology Hellas (CERTH), Johns Hopkins University (JHU), University of Freiburg [Freiburg], Simula Research Laboratory [Lysaker] (SRL), South African National Bioinformatics Institute (SANBI), University of the Western Cape (UWC), Anaconda, Inc. [Austin], Plateforme Auvergne Bioinformatique (AuBi), Mésocentre Clermont Auvergne, Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), and Pathology
There is an ongoing explosion of scientific datasets being generated, brought on by recent technological advances in many areas of the natural sciences. As a result, the life sciences have become increasingly computational in nature, and bioinformatics has taken on a central role in research studies. However, basic computational skills, data analysis, and stewardship are still rarely taught in life science educational programs, resulting in a skills gap in many of the researchers tasked with analysing these big datasets. In order to address this skills gap and empower researchers to perform their own data analyses, the Galaxy Training Network (GTN) has previously developed the Galaxy Training Platform (https://training.galaxyproject.org), an open access, community-driven framework for the collection of FAIR (Findable, Accessible, Interoperable, Reusable) training materials for data analysis utilizing the user-friendly Galaxy framework as its primary data analysis platform. Since its inception, this training platform has thrived, with the number of tutorials and contributors growing rapidly, and the range of topics extending beyond life sciences to include topics such as climatology, cheminformatics, and machine learning. While initially aimed at supporting researchers directly, the GTN framework has proven to be an invaluable resource for educators as well. We have focused our efforts in recent years on adding increased support for this growing community of instructors. New features have been added to facilitate the use of the materials in a classroom setting, simplifying the contribution flow for new materials, and have added a set of train-the-trainer lessons. Here, we present the latest developments in the GTN project, aimed at facilitating the use of the Galaxy Training materials by educators, and its usage in different learning environments.