To comply with data minimization principles, organizations should collect only the data necessary for their stated purpose. This ensures that personal information is not retained longer than needed and limits potential risk to individuals.
data minimization, personal data, compliance, privacy principles, data protection
This content discusses strategies for adhering to data minimization principles in order to protect personal data while maintaining compliance with regulations.
// Example of data minimization in PHP
$userInput = $_POST['user_data'];
// Collect only the necessary information
$allowedData = [
'email' => filter_var($userInput['email'], FILTER_VALIDATE_EMAIL),
'name' => filter_var($userInput['name'], FILTER_SANITIZE_STRING),
];
// Save only the allowed data
saveUserData($allowedData); // Function that saves minimum necessary data
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?