Fundamentals of Data De-identification
Only a handful of experts exist around the world who are qualified to manually de-identify data. This is because de-identification is a complex and challenging field that requires highly specific knowledge. Simply removing the names and other types of direct identifiers from a dataset is insufficient to achieve de-identification. The data will also contain other indirect or quasi-identifiers, such as age, date of birth and zip code that, when combined, can be used to positively identify an individual.
Join us for De-identification 201, Fundamentals of Data De-identification. This white paper takes the next steps in the expert’s journey by delving into what de-identification really means, and elements that must be included in a de-identification methodology.
This white paper is the second part of our De-identification 101 series, but can stand alone.
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