Review and update vocabulary terms for "dataQualityAssuranceMethod" (DMM)

[pbrenton]

Vocabularies need to be accurately described and conform to best practice standard criteria for vocabulary definitions. These include the following:

• The categorical terms list should be as comprehensive as possible (ie. it should include terms for all possible cases for a particular property). This will ensure that extreme edge cases will be minimised and hence minimise the need to include an option for "other" as an escape for misinterpretation of options that could/should reasonably placed into a provided category;
• Terms must be mutually exclusive (ie. a case cannot be interpreted to be able to apply to multiple categorical terms concurrently, it should only be able to be interpreted as applicable to a single term in a given property);
• Terms should be explicit in interpreted meaning, but concise in categorical form;
• Terms should be able to be expressable in multiple languages and still comply with the above rules;
• Each term should be clearly defined, particularly in respect to the boundary conditions between it and it's neighbouring terms. This is to ensure that cases close to boundary conditions can be correctly interpreted and assigned the most appropriate category.
• Each vocabulary list should be versioned in it's own right and appropriately referenced in usage.

The DMM vocabulary "dataQualityAssuranceMethod" requires the following actions to be undertaken:

1. Review and updating of the terms list in accordance with above rules;
2. Terms need to be defined;

The current terms list for dataQualityAssuranceMethod is:

• Data owner curated
• Subject matter expert record verification
• Crowd-sourced record verification
• Record annotation
• System supported data attribute configuration
• No DQ methods used
• Not applicable