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Validation

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Validation - definition(s)

Validation : Evaluating and checking the accuracy, consistency, timeliness and security of information, for example by evaluating the believability or reputation of its source

[Category=Data Quality ]

Source: Martin Eppler, http://www.iaidq.com/main/glossary.shtml External, 14-Feb-2009 11:28


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Validation - Verification that a field's value doesn't violate any constrains defined for it by the database.

[Category=Database Management ]

Source: Northwest Database Services, 15 November 2009 12:08:30, http://www.nwdatabase.com/database-glossary-uvwxyz.htm External


Validation - The process of determining whether a product or service meets the requirements for which it was intended.

[Category=Data Governance ]

Source: The Data Governance Institute, 29 December 2009 14:54:24, http://www.datagovernance.com/glossary-governance/ External


Validation - The act of confirming a product or service meets the requirements for which it was intended.

[Category=Quality ]

Source: American Society for Quality, 28 October 2010 09:31:28, http://www.asq.org/glossary/ External


Validation - Validation is a process. It uses objective evidence to confirm that the requirements which define an intended use or application have been met. Whenever all requirements have been met, a validated status is achieved. The process of validation can be carried out under realistic use conditions or within a simulated use environment.

In the context of this standard, the term validation is used in at least two different situations: design and development and production and service provision. Design and development validations use objective evidence to confirm that products meet the requirements which define their intended use or application.

Production and service provision processes must be validated whenever process outputs cannot be measured, monitored, or verified until after the product is in use or the service has been delivered (by then it's too late to do anything about output deficiencies and defects). In this case, validations use objective evidence to confirm that production and service provision processes are capable of producing planned results.

[Category=Quality ]

Source: Praxium Research Group Ltd, 14 March 2011 08:23:35, http://www.praxiom.com/iso-definition.htm External


Validation - Confirmation by examination and provision of objective evidence that the particular requirements for a specific intended use have been fulfilled. In design and development, validation concerns the process of examining a product or result to determine conformance to user needs.

[Category=Quality Assurance ]

Source: Massachusetts Department of Environmental Protection, 29 March 2011 08:59:14, http://www.mass.gov/dep/cleanup/laws/glossa01.htm External


validation - The process of testing an application or system to ensure that it conforms to a specification.

[Category=Geospatial ]

Source: Open Geospatial Consortium, 11 July 2011 09:55:51, http://www.opengeospatial.org/ogc/glossary External


validation -

(1) [software] The process, using formal methods, of evaluating a system or software component to determine whether it functions as expected and achieves the intended results.

(2) [Category=Data Quality ] The process, using formal methods, of evaluating the integrity and correctness of data or a measurement.

(3) [modeling] In modeling, the evaluation of a method to show whether it is assessing the parameter of interest rather than something else.

(4) [Category=Data Quality ] The process of comparing the topology rules against the features in a dataset. Features that violate the rules are marked as error features. Topology validation is typically performed after the initial topology rules have been defined, after the feature classes have been modified, or if additional feature classes or rules have been added to the map topology.

[Category=Geospatial ]

Source: esri, 24 September 2012 09:06:44, http://support.esri.com/en/knowledgebase/GISDictionary/term/abbreviation External


Data Quality Glossary.  A free resource from GRC Data Intelligence. For comments, questions or feedback: dqglossary@grcdi.nl