Workflow

Two years ago, my colleagues published FAIRly big: A framework for computationally reproducible processing of large-scale data. In this paper, they describe how to partition a large analysis (their example: processing anatomical images of 42 thousand subjects from UK Biobank), using DataLad to provision data and capture provenance, so that individual results can be reproduced on a laptop, even though a cluster is needed to run the entire group analysis. The article is accompanied by a workflow template and a tutorial dataset....

This article is part three of a series on self-hosting Forgejo-aneksajo. If you have not read part one, and part two already, check them out. In many ways, this article is a direct continuation. If you are self-hosting a Forgejo instance already, it can make a lot of sense to also operate a runner for its actions. Forgejo’ actions will feel very familiar to anyone who has used Github’s actions. That being said, the Forgejo documentation clearly states that “they are not and will never be identical”....