What is the data minimization principle?

The data minimization principle is a fundamental part of data security law in California. This principle requires organizations to collect and store only the personal data necessary to achieve a specific purpose. Additionally, organizations should only use the data for the purpose it was collected for and should not use it for any other purpose. The data minimization principle is intended to help protect individuals from having their personal data used for purposes other than what it was originally intended for. This includes preventing organizations from sharing or selling individuals’ personal data with other entities. It also helps to ensure that organizations do not collect or store more data on individuals than is necessary for their specific purpose. The data minimization principle is an important part of data security law in California. It helps to protect individuals from having their data used for purposes other than what it was originally intended for. Additionally, it requires organizations to only collect and store the personal data that they need to achieve their specific purpose. By adhering to this principle, organizations can help to ensure that individuals’ personal data is kept secure and not misused.

Related FAQs

What is a data subject access request?
What is the California Consumer Privacy Act (CCPA)?
What should I include in my data security policy?
What is the Personal Information Protection and Electronic Documents Act (PIPEDA)?
How can I keep my data secure?
What is the right to be forgotten?
What are the differences between GDPR, PIPEDA and CCPA?
What is the PCI Data Security Standard (PCI-DSS)?
What is the scope of GDPR?
What should I do in the event of a data breach?

What is the data minimization principle?

Related FAQs

Related Blog Posts