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The 3-2-1 backup rule for a lab that keeps everything on one external drive

Research infrastructure Reproducibility practices Research data management
Popularity Index: 2 Updated at 2026-10-11 14:37 UTC

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Session info saved alongside the results so the environment is not a guess One absolute path buried in the script breaks every rerun on a new machine A results audit trail that shows what changed between two versions of a table Data infrastructure is the part of research nobody wants to fund until it fails Cold storage tiers and the cost of keeping every raw file forever Sensitive data that cannot leave a secure enclave and the analysis done on site File naming conventions that still make sense to whoever inherits the folder Archiving the analysis dataset and the script behind every table A Makefile that runs everything from raw data to the final table Versioning a codebook when a variable is recoded after the first analysis

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