Therefore, data validation should start with business process definition and set of business rules within this process.Rules can be collected through the requirements capture exercise.The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types; as defined in a programming language or data storage and retrieval mechanism.Please refer to the errata for this document, which may include some normative corrections.In evaluating the basics of data validation, generalizations can be made regarding the different types of validation, according to the scope, complexity, and purpose of the various validation operations to be carried out.
In computer science, data validation is the process of ensuring that a program operates on clean, correct and useful data.
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Its goal is to enable generic SGML to be served, received, and processed on the Web in the way that is now possible with HTML.
XML has been designed for ease of implementation and for interoperability with both SGML and HTML.
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It is a product of the XML Core Working Group as part of the XML Activity. As a convenience to readers, it incorporates the changes dictated by the accumulated errata (available at to the Fourth Edition of XML 1.0, dated 16 August 2006.