We make the hypothesis that much of the diversity of data and metadata structures is due to the fact, that they are designed for data capturing – as guide for good practice of what should be documented, and to optimise coding and storage costs for a specific application, by far more than for interpreting data.
Necessarily, these data structures are relatively flat (in order to suggest a workflow of entering data to the user) and full of application specific hidden constants and simplifications.
« Model for data capture vs data interpretation »
A quote saved on Feb. 26, 2013.
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