De-identification is the process of removing or masking personal information from a dataset so that individuals can no longer be easily identified. It’s a way to protect privacy while still allowing the data to be useful for analysis or sharing. It’s like blurring someone’s face in a photo—you can see the picture, but you can’t tell who the person is. A hospital might de-identify patient data by removing names and medical record numbers before sharing it with researchers.
