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Data minimization

Summarize this topic in 1 paragraph. Put a section heading for each paragraph. You MUST put double square brackets around each computer buzzword or jargon or technical words. Answer in MediaWiki syntax.

Data minimization is a principle of data protection that advocates for the collection and retention of only the minimum amount of personal data necessary for a specific purpose. This approach aims to reduce privacy risks and limit exposure to potential data breaches by minimizing the volume of sensitive information stored or processed. By adhering to data minimization practices, organizations can mitigate the potential impact of data breaches, enhance data privacy compliance efforts, and uphold individuals' rights to privacy and data protection. Data minimization strategies may involve anonymization, pseudonymization, encryption, and the implementation of strict data retention policies to ensure that only essential data is collected, stored, and processed, aligning with privacy regulations such as the GDPR.

Research:

• Data minimization on DuckDuckGo
• Data minimization on Google.com
• Data minimization on O'Reilly
• Data minimization on GitHub
• Data minimization on Kubernetes.io
• Data minimization on AWS Docs
• Data minimization on Azure Docs
• Data minimization on GCP Docs
• Data minimization on IBM Docs
• Data minimization on Red Hat Docs
• Data minimization on Oracle Docs
• Data minimization on Reddit
• Data minimization on StackOverflow
• Data minimization on YouTube

Fair Use Sources:

• Data minimization for Archive Access for Fair Use Preservation, quoting, paraphrasing, excerpting and/or commenting upon