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--- data_quality_dimension:integrity [2023/02/17 14:42]
peter
+++ data_quality_dimension:integrity [2024/03/08 13:33] (current)
@@ Line 2: / Line 2: @@
 ===Definition===
-Integrity of data values is the degree of absence of loss or corruption of [[data_concept:data value|data values]].
+Integrity of data values is the degree of absence, loss or corruption of [[data_concept:data value|data values]].
-===Note(s)===
+===Relations===
-  * xxx
+|Integrity| is a [[general_term:characteristic|characteristic]] of |[[data_concept:data value|data value]]|
+|Integrity| is one of the three aspects of |data security|
-===Relation(s)===
+  * Other aspects of data security are [[data_quality_dimension/confidentiality|confidentiality]] and [[data_quality_dimension/accessibility|accessibility]] (CIA).
-Integrity is a [[characteristic|characteristic]] of [[data_concept:data value|data value]].
+  * Integrity can also be regarded as a [[general_term:characteristic|characteristic]] of software and hardware (infrastructure), which is relevant in the context of data security.
-===Example(s)===
+===Example===
-A hacker or a technical problem can decrease the integrity of data by changing or damaging data.
+A hacker or a technical problem can decrease the integrity of data by deleting, changing or damaging data.
-===Reference(s)===
+===Reference===
 DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. https://www.dama-nl.org/wp-content/uploads/2020/09/DDQ-Dimensions-of-Data-Quality-Research-Paper-version-1.2-d.d.-3-Sept-2020.pdf
+{{tag>All DataQualityDimension}}

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