About: Data integrity

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Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle and is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific context – even under the same general umbrella of computing. It is at times used as a proxy term for data quality, while data validation is a prerequisite for data integrity.Data integrity is the opposite of data corruption. The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities). Moreover, upon later retrieval, ensure the data is the same

Attributes	Values
rdf:type	Thing saint
rdfs:label	Data integrity (en)
rdfs:comment	Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle and is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific context – even under the same general umbrella of computing. It is at times used as a proxy term for data quality, while data validation is a prerequisite for data integrity.Data integrity is the opposite of data corruption. The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities). Moreover, upon later retrieval, ensure the data is the same (en)
rdfs:seeAlso	Lock (computer science)
sameAs	Data integrity Data integrity Data integrity
dbp:wikiPageUsesTemplate	dbt:Anchor dbt:Authority_control dbt:Cite_conference dbt:Reflist dbt:Section_link dbt:See_also dbt:Snd dbt:FS1037C_MS188 dbt:Data
Subject	Data quality Transaction processing
Link from a Wikipage to an external page	http://www.infosec.sdu.edu.cn/uploadfile/papers/How%20to%20Break%20MD5%20and%20Other%20Hash%20Functions.pdf https://web.archive.org/web/20090521001714/http:/www.infosec.sdu.edu.cn/uploadfile/papers/How%20to%20Break%20MD5%20and%20Other%20Hash%20Functions.pdf
gold:hypernym	Aspect
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Data_integrity?oldid=1065899952&ns=0
Wikipage page ID	40995 (xsd:integer)
page length (characters) of wiki page	18874 (xsd:nonNegativeInteger)
Wikipage revision ID	1065899952 (xsd:integer)
Link from a Wikipage to another Wikipage	Food and Drug Administration Foreign key Fork (file system) Null (SQL) Uninterruptible power supply XFS ACID Assertion (software development) Radiation hardening Safety-critical system Unix File System Btrfs Data quality Transaction processing Message authentication Metadata Power outage Check constraint Checksum Cryptographic hash function Damm algorithm Human error Primary key Clustered file system Comparison of relational database management systems Computing Consistency model Correctness (computer science) Corrosion ECC memory National Information Assurance Glossary Software bug Data corruption Data quality Data retention Data retrieval Data security Data validation Database Database schema Electromechanics Entity integrity Error correction code File system Financial Industry Regulatory Authority G-force ISO 13485 ISO 14155 Exclusive or Extended file system Fatigue (material) Hash function Information lifecycle management Ionizing radiation Watchdog timer ZFS JFS (file system) Luhn algorithm RAID Rationality Redundancy (engineering) Referential integrity Relational database Single version of the truth
has abstract	Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle and is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific context – even under the same general umbrella of computing. It is at times used as a proxy term for data quality, while data validation is a prerequisite for data integrity.Data integrity is the opposite of data corruption. The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities). Moreover, upon later retrieval, ensure the data is the same as when it was originally recorded. In short, data integrity aims to prevent unintentional changes to information. Data integrity is not to be confused with data security, the discipline of protecting data from unauthorized parties. Any unintended changes to data as the result of a storage, retrieval or processing operation, including malicious intent, unexpected hardware failure, and human error, is failure of data integrity. If the changes are the result of unauthorized access, it may also be a failure of data security. Depending on the data involved this could manifest itself as benign as a single pixel in an image appearing a different color than was originally recorded, to the loss of vacation pictures or a business-critical database, to even catastrophic loss of human life in a life-critical system. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Data_integrity
is Wikipage redirect of	Integrity constraint Integrity constraints Integrity protection Domain integrity User-defined integrity Database integrity
is Link from a Wikipage to another Wikipage of	Machine-readable document Non-functional requirement

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