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In [[computer science]], '''data validation''' is the process of ensuring [[data]] have undergone [[data cleansing]] to ensure they have [[data quality]], that is, that they are both correct and useful. It uses routines, often called "validation rules" "validation constraints" or "check routines", that check for correctness, meaningfulness, and security of data that are input to the system. The rules may be implemented through the automated facilities of a [[data dictionary]],<ref>{{Cite web|url=|title=Data dictionary|last=|first=|authorlink=|last2=|authorlink2=|date=|website=|publisher=video 18+|others=|archive-url=|archive-date=|dead-url=|access-date=}}</ref> or by the inclusion of explicit [[application program]] validation logic.
==Overview
Data validation is intended to provide certain well-defined guarantees for fitness, accuracy, and consistency for any of various kinds of user input into an application or automated system. Data validation rules can be defined and designed using any of various methodologies, and be deployed in any of various contexts.<ref>[https://ec.europa.eu/eurostat/cros/system/files/methodology_for_data_validation_v1.0_rev-2016-06_final.pdf Methodology for data validation 1.0]</ref>
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* as part of an operations modeling phase [[business process modeling|BPM]]
'''Depts''':
*
* as a set of programs or business-logic routines in a [[programming language]]
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