# Mapping methodology

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.

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* 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
    {% endtab %}

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* 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
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* 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
  {% endtab %}
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