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Data Quality - New Insight from the TOS

Data quality is a broad, often loosely defined term. There are many problem- and discipline-related definitions to be found in the literature. This section shall not try to define data quality in any comprehensive, far less complete sense - suffice to denounce any definition that does not include the specific aspect of sample representativity however. Data is often equated with information, but this can only be in a hidden, potential form. Only data analysis together with interpretation may reveal information - which will always be in a particular problem-specific context only. Such issues are not usually seen as problematic in chemometrics and in PAT, where the pre-history of a data table ( data ) in general receives but scant attention. One relevant, major exception is Martens and Martens (2001) [26] who focus comprehensively on Multivariate Analysis of Quality . But even here there is a narrow focus on quality of information only, defined as ... dependent on reliability and relevance , without further clarifying the definition of these open-ended adjectives. [Pg.75]

In as much as the present TOS expose has specified clearly that reliable analytical information derives from reliable analytical results (data) , meaning analytical results exclusively stemming from representative samples and commensurate sampling plans, it stands to reason that any definition of data quality perforce must include reflections/reference to representative sampling. Thus it is crucial also to contemplate the specific origin(s) of any data set in the context of the TOS. [Pg.75]

From the perspective presented in this chapter, manipulations and modeling of data without proper considerations as to their representativity (strictly speaking the representativity of the samples analyzed) [Pg.75]


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