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==Validation and security==
Failures or omissions in data validation can lead to [[data corruption]] or a [[software security vulnerability|security vulnerability]].<ref>[http://www.cgisecurity.com/owasp/html/ch10.html Chapter10. Data Validation]</ref> Data validation checks that data are fit for purpose,<ref>[https://web.archive.org/web/20171201042621/https://spotlessdata.com/blog/more-efficient-data-validation-spotless More Efficient Data Validation with Spotless]</ref> valid, sensible, reasonable and secure before they are processed. However, correctly interpreting the data validation metric is crucial for the functionality and safety of digital services.<ref>{{Cite journal |last=Vavilis |first=Sokratis |last2=Zannone |first2=Nicola |last3=Petkovic |first3=Milan |date=2013-06 |title=Data reliability in home healthcare services |url=https://ieeexplore.ieee.org/document/6627820/ |journal=Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems |publisher=IEEE |pages=377–380 |doi=10.1109/cbms.2013.6627820}}</ref>
== See also ==
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