Data adjustment is not a valid basic anonymization technique according to the PDPC’s guide12. Data adjustment refers to the modification of the original data values by adding or subtracting a random amount, or multiplying or dividing by a random factor3. This technique may preserve some statistical properties of the data, but it also introduces errors and inaccuracies that may affect the utility and quality of the data3. Moreover, data adjustment may not sufficiently protect the identity of individuals, as the adjusted data may still be linked or matched with other data sources3. Therefore, data adjustment is not recommended by the PDPC as a basic anonymization technique.
References:
1: GUIDE TO BASIC DATA ANONYMISATION TECHNIQUES Published 25 January 2018 - PDPC 2: GUIDE TO BASIC ANONYMISATION - PDPC 3: Guide to basic anonymisation and free tool from PDPC
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