Depending on the granularity and complexity of what the Reference Data represents. it may be structured as a simple list, a cross-reference or a taxonomy.
Reference data can be structured in various ways depending on its granularity and complexity.
Simple List:
Reference data can be a simple list when it involves basic, discrete values such as country codes or product categories.
Cross-Reference:
When reference data needs to map values between different systems or standards, it can be structured as cross-references. For example, mapping old product codes to new ones.
Taxonomy:
For more complex hierarchical relationships, reference data can be structured as a taxonomy. This involves categorizing data into parent-child relationships, like an organizational hierarchy or biological classification.
DAMA-DMBOK (Data Management Body of Knowledge) Framework
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