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Mosaic effect is when disparate pieces of data or information—although individually of limited utility—become significant when combined with other types of information. Applied to public use data, the concept of a mosaic effect suggests that even anonymized data, which may seem innocuous in isolation, may become vulnerable to re-identification if enough datasets containing similar or complementary information are released. Source: U.S. Department of Health and Human Services.
« Back to Glossary IndexMosaic effect is when disparate pieces of data or information—although individually of limited utility—become significant when combined with other types of information. Applied to public use data, the concept of a mosaic effect suggests that even anonymized data, which may seem innocuous in isolation, may become vulnerable to re-identification if enough datasets containing similar or complementary information are released. Source: U.S. Department of Health and Human Services.