DATA DE-IDENTIFICATION ACROSS DIFFERENT DATA SOURCES USING A COMMON DATA MODEL

A computer system migrates and de-identifies data. Data is migrated from a dataset to a common data model that is configured to accommodate data comprising a plurality of different data types to be de-identified. Data is analyzed in the common data model to identify privacy vulnerabilities and determine corresponding data de-identification techniques and configuration options to be applied to the data. The automatically determined data de-identification techniques are applied to the data to address all of the identified privacy vulnerabilities, and the resulting de-identified data is migrated from the common data model back to the dataset. Embodiments of the present invention further include a computer-implemented method and program product for migrating and de-identifying data in substantially the same manner described above.