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Data Integrity
The accuracy, consistency, and reliability of data throughout its lifecycle, critical for maintaining trust and effectiveness in decision-making processes.
Implications
The accuracy, consistency, and reliability of data over its lifecycle, ensuring that data remains unaltered and trustworthy from creation to usage, essential for effective decision-making and compliance.
Example
Example: A pharmaceutical company enforces strict data integrity protocols to ensure that clinical trial data is accurate and unaltered, supporting valid conclusions and regulatory approval.
Related Terms
Different from data quality, which includes broader aspects like completeness and relevance, data integrity specifically focuses on maintaining the correctness and reliability of data.
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