Which practices help maintain data integrity throughout its lifecycle?

Which practices help maintain data integrity throughout its lifecycle?

• A. Data accuracy and consistency across all processes even when data is duplicated.
• B. Data deletion when not needed.
• C. Frequent random modification of datasets.
• D. Validation, audits, and secure systems.

Answer: (C)

Maintaining data integrity across its lifecycle hinges on preventing unauthorized changes, preserving accuracy, and keeping data consistent as it moves from creation through use to disposal. The strongest way to achieve this is through validation, audits, and secure systems. Validation ensures data entering the system meets required formats and business rules, catching errors early so corrupted data doesn’t propagate. Audits provide a trace of who changed what and when, making it possible to detect and trace any discrepancies back to their source. Secure systems enforce who can access data and what actions they can take, protect data from tampering with strong access controls and encryption, and support reliable backups and change-management processes. Together, these practices create a trustworthy data lifecycle by validating inputs, recording changes, and guarding against unauthorized alterations. Other options fall short because they either focus on removing data without ensuring ongoing trust, introduce uncontrolled changes, or rely on duplicated data without the governance needed to keep it consistent.

Maintaining data integrity across its lifecycle hinges on preventing unauthorized changes, preserving accuracy, and keeping data consistent as it moves from creation through use to disposal. The strongest way to achieve this is through validation, audits, and secure systems.

Validation ensures data entering the system meets required formats and business rules, catching errors early so corrupted data doesn’t propagate. Audits provide a trace of who changed what and when, making it possible to detect and trace any discrepancies back to their source. Secure systems enforce who can access data and what actions they can take, protect data from tampering with strong access controls and encryption, and support reliable backups and change-management processes. Together, these practices create a trustworthy data lifecycle by validating inputs, recording changes, and guarding against unauthorized alterations.

Other options fall short because they either focus on removing data without ensuring ongoing trust, introduce uncontrolled changes, or rely on duplicated data without the governance needed to keep it consistent.