Difference between revisions of "Quality assurance"
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==Definition== | ==Definition== | ||
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| − | + | '''Source:''' [[Comparative Analysis of Methods and Tools for Nuclear Knowledge Preservation]] | |
| − | '''Source: [[Comparative Analysis of Methods and Tools for Nuclear Knowledge Preservation]] | + | |
== Summary== | == Summary== | ||
| − | Quality assurance focuses on the reliability and integrity of data, information, and knowledge. Developing and managing data and information systems, methods and tools for assuring data reliability and integrity are critical when considering long term preservation. Tools and technologies available to facilitate the process of assuring data quality in systems must consider data completeness, correctness, clarity, consistency, and conciseness. Quality assurance measures need to be considered for effective knowledge preservation. | + | Quality assurance focuses on the reliability and integrity of [[Data|data]], [[Information|information]], and [[Knowledge|knowledge]]. Developing and managing data and information systems, methods and tools for assuring data reliability and integrity are critical when considering long term preservation. Tools and technologies available to facilitate the process of assuring data quality in systems must consider data completeness, correctness, clarity, consistency, and conciseness. Quality assurance measures need to be considered for effective [[Knowledge preservation|knowledge preservation]]. |
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== References == | == References == | ||
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==Related articles== | ==Related articles== | ||
| + | [[Preservation]] | ||
| + | [[Preservation tools]] | ||
| − | [[category: | + | [[category:Business processes]] |
Revision as of 14:32, 20 August 2013
Definition
Quality assurance A way of preventing mistakes or defects in manufactured products and avoiding problems when delivering solutions or services to customers ( http://en.wikipedia.org/wiki/Quality_assurance Wikipedia) Source: Comparative Analysis of Methods and Tools for Nuclear Knowledge Preservation
Summary
Quality assurance focuses on the reliability and integrity of data, information, and knowledge. Developing and managing data and information systems, methods and tools for assuring data reliability and integrity are critical when considering long term preservation. Tools and technologies available to facilitate the process of assuring data quality in systems must consider data completeness, correctness, clarity, consistency, and conciseness. Quality assurance measures need to be considered for effective knowledge preservation.
References
[1]
