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Data Validation

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Data Validation - definitions

Data Validation - As a broad concept, Data Validation refers to the confirmation of the reliability of data through a checking process. As a set of processes Data Validation refers to a systematic review of a data set toentify outliers or suspect values. More specifically, data validation refers to the systematic process of independently reviewing a body of analytical data against established criteria to provide assurance that the data are acceptable for their intended use. Within databases, Data Validation refers to procedures built into databases to define and check acceptable input for fields, and to accept or reject the data.

[Category=Data Governance ]

Source: The Data Governance Institute, 29 November 2009 09:44:04, External

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Data Validation - The process of ensuring that a program operates on clean, correct and useful data. The system uses routines, often called "validation rules" or "check routines", that check for correctness, completeness, meaningfulness, and security of data that are input to the system.

Source: Public Schools of North Carolina, 23 April 2010 10:42:01, External

Data Validation - The process of ensuring correct data based on error and exception handling rules. This process directly impacts data integrity.

[Category=Data Warehousing ]

Source: Aexis Business Intelligence, 25 November 2010 10:58:45, External

Data Validation - A well-defined procedure for assessing whether or not a set of environmental data have met acceptability criteria defined in the Data Quality_ objective process. This procedure may follow existing guidelines, for example those define by EPA (Guidelines for data validation; EPA New England data validation guidelines) or they can be defined by the user as part of the DQO process. These user -defined criteria may be either more or less strict than the EPA guidelines.

[Category=Quality Assurance ]

Source: Massachusetts Department of Environmental Protection, 18 March 2011 07:54:44, External 



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