data minimization

How is Data Minimization Implemented?

Implementation of data minimization involves several key steps:
Define Research Objectives: Clearly outline the aims of the study to determine what data is necessary.
Data Assessment: Evaluate potential data sources and select only those aligned with the research objectives.
Anonymization and Pseudonymization: Employ techniques to de-identify personal data, thus enhancing privacy.
Data Retention Policies: Establish clear policies on how long data should be retained and ensure secure disposal of unnecessary data.

Frequently asked queries:

Partnered Content Networks

Relevant Topics