De-identification
De-identification is a process used in privacy law to protect personal data, by removing or encrypting identifiable information. This process is used to prevent a person's identity from being connected with information.
Overview[edit | edit source]
De-identification is used in a variety of contexts, including research, data mining, and cloud storage. It is a critical component of data privacy and compliance with various privacy laws such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States.
Methods[edit | edit source]
There are several methods of de-identification, including:
- Data masking: This involves replacing identifiable data with fictional, but realistic, data. This is often used in testing environments where realistic data is needed, but using real personal data would be inappropriate.
- Pseudonymization: This involves replacing identifiable data with artificial identifiers. While the data can no longer be attributed to a specific data subject without the use of additional information, it remains usable for data analysis and processing.
- Anonymization: This involves removing identifiable information entirely, making it impossible to link the data back to an individual.
Challenges[edit | edit source]
While de-identification can protect privacy, it also presents several challenges. These include the risk of re-identification, where de-identified data is matched with publicly available information to re-identify the individual. Additionally, de-identified data may be less useful for research or analysis, as it may remove important context or detail.
See also[edit | edit source]
De-identification Resources | ||
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Contributors: Prab R. Tumpati, MD