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Quality in this framework is defined as fitness for use.
With any luck, we'll be able to verify its fitness for use in three hours, was it, Doctor?
This information helps users understand the characteristics of the data, and determine fitness for use.
The results of the analysis are used to verify a structure's fitness for use, often saving physical tests.
It is often pragmatically defined as: "The fitness for use of the information provided."
Data quality is usually defined in terms of "fitness for use" (usefulness).
Six dimensions of quality have been identified within the concept of "fitness for use".
The Department defines the quality of statistical information in terms of its "fitness for use".
The former is near to "fitness for use" and the latter is what the customer would love, but has not yet thought about.
Pick's philosophy on design was that "the test of the goodness of a thing is its fitness for use."
Central agencies have a sound understanding of the nature of the government-wide information and its fitness for use.
Certification listing does not necessarily guarantee fitness for use.
In terms of information quality, Statistics Canada has chosen a broad concept based on fitness for use.
Their objective is to enable users to assess the data quality, i.e., fitness for use.
No liability of fitness for use is assumed for the site, its contents or links.
Such documentation provides the means of assessing fitness for use and contributes directly to their interpretability.
Software value is measured in fitness for use and not in conformance to requirements.
Include any relevant certification of fitness for use, for example, veterinary certificates.
There is a generally accepted, but evolving, range of quality issues underlying the concept of 'fitness for use'.
Juran defines quality as the "Fitness for use".
Key aspects and Issues: Fitness for use - metadata, user decides.
Criterion No 9: fitness for use.
Fitness for use - producibility, design for process.
Examination of steam turbine internals for fitness for use.
There are several dimensions to the concept of quality, and the assessment of data quality or "fitness for use" is a complex undertaking.