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Glossary
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Data Minimization Practices

Data minimization is a privacy practice that involves collecting, storing, and processing only the personal data that is necessary for a specific purpose, and no more. It focuses on limiting the amount of personal information gathered to the bare minimum required.

Example #1

For example, a company requesting only a customer's name and email address for newsletter sign-up, instead of asking for additional personal details like phone number and address.

Example #2

Another example is a social media platform requesting only the essential information for account creation, such as username and email, without requiring additional data like birthdate or location.

Misuse

Misuse of data minimization can occur when organizations collect excessive or irrelevant personal information beyond what is needed for their services. This can lead to an increased risk of data breaches and privacy violations. For example, a fitness app collecting users' sensitive health data such as heart rate and blood pressure without a valid reason poses a significant threat to users' privacy and security.

Benefits

The benefits of data minimization include reducing the likelihood of data breaches, limiting the scope of potential misuse of personal information, and enhancing overall privacy protection for individuals. For instance, by only storing necessary details like name and contact information, a shopping website minimizes the impact of a potential breach, as sensitive data like credit card numbers are not retained.

Conclusion

Data minimization is crucial for safeguarding individuals' privacy rights and ensuring that businesses handle personal information responsibly. By adopting data minimization practices, both consumers and employees can have greater control over their data and minimize risks associated with unnecessary data collection and storage.

Related Terms

Personal DataData ProtectionPrivacy By Design

Last Modified: 4/30/2024
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