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Probably a bit of a sweeping statement, but...
The course material is, functionally, "Reproducible Research Software: Beyond the Basics", aimed at people who have been developing independently for a year or so, potentially new RSEs, that sort of audience.
It doesn't really cover the FAIR principles beyond the top-level outline. We say which tools work for which broad principle, but there's no digging into the specific sub-principles or how/why each affects the research software ecosystem. It also spends a lot of time on content that is not included within FAIR, like code conventions and testing. These are good things and we absolutely should have a course that covers them, but they aren't part of FAIR beyond a very abstract "Correctness tests ensure reproducibility"/"Testing across different platforms ensures interoperability" - they aren't part of the standard, when much more 'basic' things are clearly defined.
Probably a bit of a sweeping statement, but...
The course material is, functionally, "Reproducible Research Software: Beyond the Basics", aimed at people who have been developing independently for a year or so, potentially new RSEs, that sort of audience.
It doesn't really cover the FAIR principles beyond the top-level outline. We say which tools work for which broad principle, but there's no digging into the specific sub-principles or how/why each affects the research software ecosystem. It also spends a lot of time on content that is not included within FAIR, like code conventions and testing. These are good things and we absolutely should have a course that covers them, but they aren't part of FAIR beyond a very abstract "Correctness tests ensure reproducibility"/"Testing across different platforms ensures interoperability" - they aren't part of the standard, when much more 'basic' things are clearly defined.
A FAIR-focused course would IMO probably be closer to walking people through the FAIRsoft Evaluator: https://openebench.bsc.es/observatory/Evaluation/
It'd definitely be intermediate level.
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