data minimization

How is Data Minimization Implemented?

Implementing data minimization involves several steps:
Define Clear Objectives: Clearly outline the objectives of the epidemiological study to determine the specific data needed.
Review Existing Data: Utilize existing data sources where possible to avoid redundant data collection.
Data Segmentation: Collect data in segments or phases to ensure only relevant data is gathered at each stage.
Anonymization and Pseudonymization: Employ techniques to anonymize or pseudonymize data, thus reducing the risk of identifying individuals.

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