A thread on papers about workflow systems (and, downstream of them, executable manuscripts) to motivate my final grad class today - Principles for data analysis workflows
journals.plos.org/ploscompbiol/a…
This is a _conceptual_ article on how to think about data analysis lifecycle. By @CieraReports and others!

I did a first read of three excellent microbiome/metagenomics papers this morning! first up, "Light into the darkness: Unifying the known and unknown coding sequence space in microbiome analyses" biorxiv.org/content/10.110… - with a beautiful accompanying blog post! merenlab.org/2020/07/01/dar….

It's been really interesting to see pro-preprint/openscience "speed of communication" come out of COVID-19 experience. I'm 110% pro-rapid communication between scientists! But. the downsides are hopefully also clear. As soon as scientific results _matter_ in a hard-nosed way (masks? no masks? vaccine?) they're subject to misinterpretation, disinformation campaigns, etc. And many of us scientists are _really_ bad at contextualizing our results.

Maybe? I am very much on board with the general point ($$!) but have a few additional thoughts. cc @nayafia esp.

https://twitter.com/jacobian/status/1086399572396646402

@nayafia first, it is not clear to me that most projects know how to channel money. (some big ones certainly do! but I would be disappointed to see only the big projects succeed.) so simply giving money to people might not help.