Data extraction takes longer than reading the papers and the errors hide in the spreadsheet

Popularity Index: 2 Updated at 2026-10-11 14:37 UTC

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Minimizing what is collected so a breach does not turn into a scandal Configuring REDCap entry forms so impossible values are blocked at the keyboard Risk of bias tools score reporting quality rather than whether the study was actually done well Who signs off on a shared data deposit when five institutions each own a slice of the dataset Building the data dictionary while collecting instead of after the spreadsheet exists Pooling five studies with different outcome measures produces a number nobody can interpret Telling a data cleaning error apart from a genuine shift in the numbers A results audit trail that shows what changed between two versions of a table Session info saved alongside the results so the environment is not a guess Funnel plot asymmetry gets called publication bias although small studies are also simply worse

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