Brandon Nguyen
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Practical step‑by‑step process to sanitise datasets before public release
Method Help
Before open‑data release you need to scrub identifiers, filter sensitive entries and validate output quality. Poor sanitisation creates privacy hazards. What is your full workflow for dataset sanitisation ahead of public sharing?
Feng Zhong, Feng Song and 32 others5 CommentsView more comments-
Make a separate working copy exclusively for sanitisation, never alter original raw source.
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Systematically scan for direct identifiers plus indirect quasi‑identifiers.
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Step‑by‑step approach for cleaning messy raw survey‑response datasets
Method Help
Raw survey datasets frequently contain incomplete replies, duplicate entries, careless outlier responses and inconsistent answer formatting. What structured cleaning workflow do you apply before you run formal statistical analysis on survey data?
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First define clear exclusion criteria and write them down before inspecting response values.
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Filter duplicate submissions based on user identifiers or timestamp patterns.
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