Data anonymization is a technique used to protect individual privacy while still allowing for meaningful research. By removing personally identifiable information (PII) from datasets, researchers can analyze trends and outcomes without compromising participant confidentiality. This method is particularly important when sharing data across different organizations or with the public.
