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AS Computer Science Organization of data (2) Key terms Terminology TermDefinitionFile security control over which users can access which files, and the limitations on what users can do to the files
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Understand the different types of data integrity, such as entity integrity, domain integrity, referential integrity, and user-defined integrity constraints.
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Ensure all data entered into the database meets the defined integrity constraints.
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Regularly monitor and audit the data in the database to identify and correct any integrity issues.
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Implement proper backup and recovery procedures to protect the integrity of the data.
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Train and educate users on the importance of maintaining data integrity.

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Organizations that rely on accurate and reliable data for decision-making
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Data integrity refers to the accuracy and consistency of data throughout its lifecycle.
Organizations and individuals who handle sensitive or important data are required to ensure data integrity.
Data integrity can be maintained through various methods such as encryption, data validation, and regular data backups.
The purpose of data integrity is to ensure the reliability and trustworthiness of data to prevent corruption or unauthorized access.
Information such as data validation methods, data encryption protocols, and data backup procedures must be reported on data integrity.
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