15 Ways to Think About Data Quality (Just for a Start)
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Added by benbanbun on 2011-04-12 11:42
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Creator(s): glenn mcdonald (gmcdonald@furia.com)
I don't think data quality is an amorphous, aesthetic, hopelessly subjective topic. Data "beauty" might be subjective, and the same data may have different applicability to different tasks, but there are a lot of obvious and straightforward ways of thinking about the quality of a dataset independent of the particular preferences of individual beholders. Here are just some of them: