De-identification is a way for organizations to remove personal information from data that they collect, use, archive, and share with other organizations. De-identification is not a single technique, but a collection of approaches, algorithms, and tools that can be applied to different kinds of data with differing levels of effectiveness. Privacy protection improves as more aggressive de-identification techniques are employed, but less utility remains in the dataset.
The National Institute of Standards and Technology (NIST) is conducting research and developing documents in the area of de-identification. This page summarizes our work and current projects.
Email us about the NIST de-identification program.