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@briney@glammr.us

Post #1677133

2026-03-04 18:58 UTC

@olibrendel @QuantumDot2 It sounds like you'll want a balance of data management principles applied using software tools. E.g. determining a file naming convention (see this worksheet: https://doi.org/10.7907/894q-zr22) and then integrating that into your code/Markdown. If you understand some of the data management principles, it will be easier to streamline your analysis.

Replies (1)

  • @olibrendel@scicomm.xyz 2026-03-05 07:58

    @briney @QuantumDot2 Yes, naming convention is the foundation. I guess for what I was looking for returns of experience is how to tie the different files together, from raw data coming from different manual measurements or equipments, to consolidated data which would lead to some type of analysis to finalised data to be submitted to some repository. Everything could be traced by a readme.txt (or readme.md ;-) per folder, but when the data-collection is big enough, these readme's become rapidly un-readable. I was thinking about MD because some MD systems allow for automatic summaries, and MD allows linking among files, and it is pretty versatile and independent from specific software, as still human readable. I guess I'm looking for some experiences with these kind of set-ups 🙂 #AcademicChatter

    Open ##1677134