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@olibrendel@scicomm.xyz

Post #852111

2026-03-03 17:30 UTC

#AcademicChatter Hello, fellow academic chatters. I'm an experimental scientist. And I regularly have the problem of how to organize acquired data by different participants to a same experiment. I'd like to have some feedback of how other people do this. Not necessarily specific computer programmes (such as digital labbooks), but rather how-tos based on robust, basic things, such as text and csv files, folder structures etc. I'm often battling with the workflow which is including handwritten measurements, their digital counterparts, metadata for the measurements, codes for samples, all of these done by different people, but all will have to end in one final dataset, where I would like to be able to trace data back to the paper files, and their metadata. And all of this with not too much additional effort by everybody ;-) Have done this usually with some shared server space, but usually it ends up as something a bit difficult to get through. I'm now rather thinking about a system involving perhaps something based on #MarkDown or even #RMarkdown or #knitr etc. Any feedback much welcome 😁 #ReproducibleResearch

Replies (2)

  • @stevE@freiburg.social 2026-03-03 17:55

    @olibrendel maybe you could have a look into mqtt (which is useful to collect and distribute data from different places/sources), jsonl/json, ... e.g. with an App like lablog ( https://f-droid.org/packages/si.uni_lj.fe.lablog ) . I find it convenient to handle/extract from/browse/search through those json files (if the data structure is well designed).

    Open ##1677123

  • @QuantumDot2@mas.to 2026-03-03 21:25

    @olibrendel You might try reading what @briney has published and see if any of it resonates! There was even a recent book: https://pelagicpublishing.com/products/the-data-management-workbook

    Open ##1677127