diff --git a/news/_posts/2024-06-03-onedata.md b/news/_posts/2024-06-03-onedata.md index 6d080fbd09507..02cdab3ced05c 100644 --- a/news/_posts/2024-06-03-onedata.md +++ b/news/_posts/2024-06-03-onedata.md @@ -11,11 +11,19 @@ coveralt: screenshot of galaxy data upload interface showing a folder named GTN layout: news --- + + As part of the [EuroScienceGateway](https://eurosciencegateway.eu/) and in cooperation with [Onedata](https://onedata.org) and [EGI](https://www.egi.eu/) we are providing all [GTN](https://training.galaxyproject.org/) training data on a publicly accessible [cloud storage](https://datahub.egi.eu/share/2697e33bd34f1870b0961414b8c77753chf583). Those training datasets are curated, small but meaningful for educational purposes and contain 1530 files with a total size of 170Gb. An invaluable set of resources for everyone dealing with data science and training. Please thank the more than [350 contributors to GTN]({% link hall-of-fame.md %}). +## What does this mean for you? + +- Teachers: if you're a teacher contributing to the GTN, you can now be sure that the datasets you use in your materials are even more accessible and easier to use. +- GTN Users: When following training materials, it'll now be easier to access those same datasets in new locations. +- Galaxy Admins: If you're running a Galaxy server, you can now more easily integrate the GTN data into your server without taking up unnecessary storage space, and still making it available to all your users. + ## Accessing GTN Data in the Cloud GTN training data is always accessible, annotated and linked for every tutorial. Usually, it's stored in Zenodo, referenced via a DOI.