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Data type validation answers such simple questions as "Is the string alphabetic? " Usually you can handle such simple validations with your application's user interface.

As an extension of simple type validation, range checking ensures that the provided value is within allowable minimums and maximums.

Broadly speaking, data validation may be defined as supporting all the other steps of the data production process in order to improve the quality of statistical information.

In the “Handbook on improving quality by analysis of process variables” (LEG on Quality project by ONS – UK, Statistics Sweden, National Statistical Service of Greece, and INE – PT) it is described as “the method of detecting errors resulting from data collection”.

A main goal of any statistical organization is the dissemination of high-quality information and this is particularly true in Eurostat.

Quality implies that the data available to users have the ability to satisfy their needs and requirements concerning statistical information and is defined in a multidimensional way involving six criteria: Relevance, Accuracy, Timeliness and punctuality, Accessibility and clarity, Comparability and Coherence.

It is important to understand that these checks cannot eliminate all mistakes, they just try and ensure that the data is as accurate as is reasonably possible for the purpose it is being collected for.- this method of validation is used to limit entries to those that are members of a list of allowed entries.The choices may appear in a drop-down list to reduce transcription errors or be in the form of a list of acceptable entries that the input is checked against. An extra 'check digit' is calculated from the numbers to be entered and added to the end.There are many different errors that can occur when inputting data into a system.Many are simple transcription errors (errors that occur when data is copied from a document into a computer).

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