Data management
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This can be automated and scheduled using the Synology Drive Client available here:
See for more detail.
You work should be stored in at least two places, and ideally three for work that will be hard to reproduce. This will likely be your local machine and the NAS. You can add a third location using the university's One Drive storage (see).
The below structure is advised, taken from () with one folder per project you are working on.
Dated folders for new data and new results (analysis)
A doc folder for the writeup associated with the project
src folder for computer code,
bin for any compiled code (optional)
A lab notebook in the root of the results folder (see ).
Julia/Python notebooks can either be stored in the dated folders, keeping incremental versions, or uploaded to the .
When it comes times to publish a paper the data associated with the publication will need to be made available via a public repository. In advance of publication please collect all the code and data associated with the publication, ensure it is ready for public consumption and keep it in a folder on the NAS where Simon can review it.