Looking for a good "best practices" resource as our University wades deeper into big data

I’ve doing microscopy for a long time (confocal, SIM, WF, TEM, etc), but we are about to deploy a slide scanner with an image analysis pipeline and a massive file server. I’m doing my due diligence and trying to read up on data management. I am a little familiar with the Open Data Foundation, I have certainly heard of OMERO (and others), and I am somewhat familiar with the FAIR principles (it’s on my “to read” list).

Is there an article or other source that does a particularly outstanding job of outlining some best practices for naming, annotating, and storing image data? Thanks!