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What is Data Integrity?

 , updated on December 21, 2016
Data integrity is the physical and logical validity of data. It is the opposite of data corruption — data that becomes damaged or logically invalid.

Physical Validity

Data can be physically damaged due to defects on data storage devices or incidents such as disrupted communications.

Logical Validity

Logical validity is data that correctly conforms to its definition and structure. Errors in data processing or entry can result in logically invalid data such as incorrect foreign key relationships between entities.

End-to-end

Data integrity applies end-to-end over the entire lifecycle of data. In other words, it applies to the operational aspects of data such as processes, integration and user interfaces. For example, data may be correct in one system but incorrect in another due to integration errors.

Data Integrity vs Data Quality

Data integrity is one aspect of data quality. Other aspects of data quality include availability, authenticity, non-repudiation and confidentiality.
Overview: Data Integrity
TypeData
Information Assurance
DefinitionThe physical and logical validity of data.
Related ConceptsInformation Assurance
Data
Data Quality
Non-repudiation

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