How to Characterize Quality for Data Products (Semantic Web)

Stephan Zednik has been working on the problem of accurately characterizing quality for science data products. He writes, “Science product quality is hard to define, characterize, and act upon. Product quality reflects a comparison against standard products of a similar kind, but it is also reflective of the fitness-for-use of the product for the end-user. Users weigh quality characteristics (e.g. accuracy, completeness, coverage, consistency, representativeness) based on their intended use for the data, and therefore quality of a product can be different based on different users’ needs and interests.  Despite the subjective nature of quality assertions, and their sensitivity to users fitness-for-use, most quality information is provided by the product producer and the subjective criteria used to determine quality is opaque, if available at all.” continued…New Career Opportunities Daily: The best jobs in media.

Publicado en semanticweb.com el: 1/3/2012 2:00:28 PM

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