Your high impact journal demands reproducible research, but your reviewers don't have access to your supercomputer...
You want colleagues in another country to work with the petabytes of data you created, but they cannot access your server easily...
You want your students to run the analysis you did for one region on any other region in the world, but don't want to manage the dependencies on their laptops...
In this short course we will give you hands on experience on how to create, publish and share workflows that are 'reproducible by design'. Using openly published Jupyterbooks, online JupyterHubs, git-pullers, open interfaces and data formats you will build a reproducible workflow in a single short course! Based on a decade of work with the eWaterCycle project for Open and FAIR hydrological modelling, we will teach the best practices in making modelling studies, even when requiring High Performance Computing resources, truly reproducible.
Bring a laptop, but no need to install anything: everything will be online!
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