“Anonymisation makes data anonymous by removing anything that could identify people. Think about a database with blood test results, diagnoses, and ages, but no personal details. It’s like making the data a secret puzzle. No one knows who it’s about. This keeps the data private so no one can recognise individuals.
Anonymisation happens by changing or taking out personal information, or by using special software to hide private details. Yet, researchers can still use this data for answers without knowing who’s who. This helps researchers learn from data while keeping it private.”
