These guidelines were developed to assist map developers to produce a map which benefits all the users of the map and ensures that the downstream users of data produced as a result of a map are able to use the information consistently and reliably.
A robust mapping methodology will assist in producing quality maps that are useable, reproducible and understandable.
- Useable
- Quality mappings will support the use cases they were intended for
- there is a maintenance in meaning of source and target code systems
- Mapping needs to be able to be maintained where
- there are updates to source code system
- there are updates to target code system
- there are updates to user requirements or use cases
- Reproducible
- Clear methodology ensures a repeatable quality approach to mapping
Mappings need to employ authoritative reference sources uniformly
Documentation defines all assumptions, rules, and procedures required to manage context and create the map
- Understandable
- All mappings should have a stated purpose and audience
- Map documentation is complete, clear, and unambiguous
- Mappings define source and target domain scope for the map
- Consider also possible instances where MIS–USE of the map may influence data quality, reporting or interpretation of data /analytics
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