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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 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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Run re‑identification risk assessment after finishing sanitisation steps.
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Have second independent person audit sanitised output before publication.
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Write documentation describing every applied sanitisation transformation.
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