The more time I spend obsessing about data quality, the more I realize that you could have almost as many words for the major categories of data quality as the Eskimos do for snow. (Which, as it turns out, is only five or six.) It seems that it depends on whether you are talking about Inuit or Yupic.
“♫ “I still haven’t found what I am looking for…♫” Thanks to Bono and the gang for the musical accompaniment.
Perception is Reality
Most of the major data quality categories have to do with the actual data itself. Is it standardized? Unique? Complete? Accurate? Presented appropriately? Is it accessible? What does data’s accessibility have to do with its quality? Everything, really.
Many of the definitions of “data quality” that I have read include some reference to the perception of the user that the data is fit to use. Perception is, as they say, reality.
After spending 40 seconds looking for a datum hiding in the bushes muttering in frustration the whole time, it is impossible to conjure up a phrase describing my perception of the experience that could possibly contain the word “quality,” except if it were preceded by the phrase, “complete lack of.”