DBMS: Data Integrity (Definitions)

"The correctness and completeness of data within a database." (Karen Paulsell et al, "Sybase SQL Server: Performance and Tuning Guide", 1996)

"A general term that refers to the correctness of the data contained in a database." (Owen Williams, "MCSE TestPrep: SQL Server 6.5 Design and Implementation", 1998)

"The accuracy and reliability of data. Data integrity is important in both single-user and multiuser environments. In multiuser environments, where data is shared, both the potential for and the cost of data corruption are high. In large-scale relational database management system (RDBMS) environments, data integrity is a primary concern." (Microsoft Corporation, "SQL Server 7.0 System Administration Training Kit", 1999)

"Data integrity refers to a state in which all the data values stored in the database are correct." (Anthony Sequeira & Brian Alderman, "The SQL Server 2000 Book", 2003)

"The condition that exists when there’s no accidental or intentional destruction, alteration, or loss of data." (Sharon Allen & Evan Terry, "Beginning Relational Data Modeling" 2nd Ed., 2005)

"The bits of data that are put in storage (via I/O writes) are the same bits of data—order and completeness - that come out (via I/O reads)." (David G Hill, "Data Protection: Governance, Risk Management, and Compliance", 2009)

"In a relational database, refers to a condition in which the data in the database is in compliance with all entity and referential integrity constraints." (Carlos Coronel et al, "Database Systems: Design, Implementation, and Management 9th Ed", 2011)

"The accuracy of data and its conformity to its expected value, especially after being transmitted or processed." (Microsoft, "SQL Server 2012 Glossary", 2012)

"Refers to the accuracy and quality of the data." (Steve Conger, "Hands-on database : an introduction to database design and development", 2012)

"Data integrity is the state of data being free from corruption." (Vince Buffalo, "Bioinformatics Data Skills", 2015)

"The property that data has not been altered in an authorized manner." (O Sami Saydjari, "Engineering Trustworthy Systems: Get Cybersecurity Design Right the First Time", 2018)

"The degree to which the data is internal or referential/consistent. If the key to refer to a different table is invalid, the join between the two tables cannot be made." (Piethein Strengholt, "Data Management at Scale", 2020)

"(1) In the context of data and network security: The assurance that information can only be accessed or modified by those authorized to do so. (2) In the context of data quality: The assurance the data are clean, traceable, and fit for purpose." (CODATA)

"The degree to which a collection of data is complete, consistent, and accurate. See also: data security; database integrity; integrity." (IEEE 610.5-1990)