anonimleme
Anonimleme is the process of removing or modifying personal identifiers in data to prevent the re-identification of individuals. In Turkish usage, the term combines anonim (anonymous) with the suffix -leme, forming a noun that denotes the act of anonymizing. It is a central concept in data protection and privacy when data containing personal information is prepared for sharing or analysis.
Techniques used in anonimleme range from direct removal of identifiers (names, addresses, social security numbers) to
Challenges of anonimleme include the risk of re-identification when anonymized data are combined with external datasets
Applications of anonimleme span statistical agencies, academic research, and industry collaborations where data sharing is necessary