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Mapping methodology

These guidelines were developed to assist map developers in producing a map that benefits all users and ensures that downstream users of data produced by the map can use the information consistently and reliably.

A robust mapping methodology will assist in producing quality maps that are usable, reproducible and understandable.

  • Quality mappings will support the use cases they were intended for

  • There is a maintenance in the meaning of the source and target code systems

  • Mapping needs to be able to be maintained where:

    • there are updates to the source code system

    • there are updates to the target code system

    • there are updates to user requirements or use cases

  • 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

  • All mappings should have a stated purpose and audience

  • Map documentation is complete, clear, and unambiguous

  • Mappings define the source and target domain scope for the map

Consider also possible instances where misuse of the map may influence data quality, reporting or interpretation of data /analytics
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