I also see quite a dichotomy between starting a data dictionary as an aid to building a (greenfields) data source, and documenting an already-existing system
A data dictionary is, at its most simple, a mapping of data elements your organization stores, where it stores them, and what each element means. While it’s simple to describe, it’s a bit more complicated and time-consuming to implement.
Another reason for a data dictionary is that you need to determine authoritative sources for your data elements when you need systems to interact.
Defining Data Elements for the Data Dictionary
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