Editing Canonical form (section)

===Computing===
In [[computing]], the reduction of data to any kind of canonical form is commonly called ''data normalization''.

For instance, [[database normalization]] is the process of organizing the [[Field (computer science)|fields]] and [[Table (database)|table]]s of a [[relational database]] to minimize [[Data redundancy|redundancy]] and dependency.<ref>{{Cite web|url=https://support.microsoft.com/en-ca/help/283878/description-of-the-database-normalization-basics|title=Description of the database normalization basics|website=support.microsoft.com|access-date=2019-11-20}}</ref>

In the field of [[software security]], a common [[Vulnerability (computing)|vulnerability]] is unchecked malicious input (see ''[[Code injection]]''). The mitigation for this problem is proper [[input validation]]. Before input validation is performed, the input is usually normalized by eliminating encoding (e.g., [[Character encodings in HTML|HTML encoding]]) and reducing the input data to a single common [[character set]].

Other forms of data, typically associated with [[signal processing]] (including [[Audio signal processing|audio]] and [[Image processing|imaging]]) or [[machine learning]], can be normalized in order to provide a limited range of values.

In [[content management]], the concept of a [[single source of truth]] (SSOT) is applicable, just as it is in [[database normalization]] generally and in [[software development]]. Competent [[content management system]]s provide logical ways of obtaining it, such as [[transclusion]].