Conceptual Problems
Although this pragmatic definition is usable for most everyday purposes, specialists often use more complex models for information quality. Most information system practitioners use the term synonymously with data quality. However, as many academics make a distinction between data and information, some will insist on a distinction between data quality and information quality. This distinction would be akin to the distinction between syntax and semantics where for example, the semantic value of "one" could be expressed in different syntaxes like 00001; 1.0000; 01.0; or 1. Thus a data difference may not necessarily represent poor information quality.
Information quality assurance is the process to guarantee confidence that particular information meets some context specific quality requirements. It has been suggested, however, that higher the quality the greater will be the confidence in meeting more general, less specific contexts.
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