Table 6.

Data quality framework (24).

Conformance	Completeness	Plausibility
Do data values adhere to specified standards and formats? Sub-types include Value, Relational, and Computational.	Are variables present and do they contain all recorded values?	Are data values believable? Sub-types include Uniqueness, Atemporal, and Temporal.
Relevant example: Are resources coded using interoperable code systems?	Relevant example: Are vaccine brand or lot numbers captured for all immunization administrations?	Relevant example: Does the AE date occur after the patient birth date?