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Privacy/HowTo/Deidentify: Difference between revisions
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**Be wary of small intersections between large datasets (ex: brown eyed blond women). | **Be wary of small intersections between large datasets (ex: brown eyed blond women). | ||
**Be wary of granular location or temporal information (ex: total salary paid to all employees published every day, with only one new hire on a particular day). | **Be wary of granular location or temporal information (ex: total salary paid to all employees published every day, with only one new hire on a particular day). | ||
**Be wary of small tails (ex: higher ages may be populated by small numbers of individuals ) | |||
**Any data that turns out to have any analytic density is likely to be at risk of re-identification using external complimentary data. | **Any data that turns out to have any analytic density is likely to be at risk of re-identification using external complimentary data. | ||
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*Make the time window larger or less recent. | *Make the time window larger or less recent. | ||
*Generate a simulation of your data that has the same analytic properties. | *Generate a simulation of your data that has the same analytic properties. | ||
*For demographics, include an appropriate "decline to state" option | |||
==How to Request a Review== | ==How to Request a Review== | ||