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This mini-site provides an introduction to DataStaples - what they are, key benefits and examples of application.
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Quick Objective:
Use DataStaples to make better data in the 'real-world'.
Quick Definition:
DataStaples are designed to contribute to data quality through validation and merging, to be flexible, to enable understanding of the raw data in order to refine its improvement, to provide efficient processing and to be simple to deploy and use.
More info:
A DataStaple framework provides a structure to implement data refinement routines for any data sets.
For more detail on the process see the
Concept