Authors / CoAuthors
Webber, E.
Abstract
In this age of state-of-the-art devices producing analytical results with little input from analytical specialists, how do we know that the results produced are correct? When reporting the result of a measurement of a physical quantity, it is obligatory that some quantitative indication of the quality of the result be given so that those who use it can assess its reliability. Without such an indication, measurement results cannot be compared, either among themselves or with reference values given in a specification or standard. It is therefore necessary that there be a readily implemented, easily understood, and generally accepted procedure for characterising the quality of a result of a measurement, that is, for evaluating and expressing its 'uncertainty'. The concept of 'uncertainty' as quantifiable attribute is relatively new in the history of measurement, although error and error analysis have long been part of the practice of measurement science or 'metrology'. It is now widely recognised that, when all of the known or suspected components of error have been evaluated and the appropriate corrections have been applied, there still remains an uncertainty about the correctness of the stated result, that is, a doubt about how well the result of the measurement represents the value of the quantity being measured. This presentation will discuss the latest practices for the production of 'reliable' geochemical data that are associated with small measurement uncertainties, and will provide an overview of current understanding of metrological traceability and the proper use of reference materials. Correct use of reference materials will be discussed, as well as the role of measurement uncertainty and how it is affected by such issues as sample preparation, sample heterogeneity and data acquisition.
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nonGeographicDataset
eCat Id
70980
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Keywords
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- External PublicationConference Paper
- ( Theme )
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- geochemistry
- ( Theme )
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- data standards
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
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2011-01-01T00:00:00
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geoscientificInformation
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