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Metadataspec
NumConformanceImplementation

Following best practices for CRF design.

The design of the CRF follows both recommendations for creating data collection instruments and recommendations for CRF design.

1Following TIG Core designations.

All HR (Highly Recommended) and applicable R/C (Recommended/Conditional) data collection fields are present in the CRF and/or operational database.

2Following guidance for CDISC Controlled Terminology.

Controlled terminology is used as specified to collect the data using the CRF. 

3Following best practices for CRF design.

The design of the CRF follows both recommendations for creating data collection instruments and recommendations for CRF design.

4Following standard wording for Question Text or Prompts.

The wording of CRF questions is standardized per specified Question Text or Prompts for the data collection fields.

5Following Data Collection Variable naming conventions.

Data Collection Variable naming conventions are applied in the operational database as specified.

7

Presenting validated QRS questions and reply choices as validated in the CRF. In some cases, this may result in CRFs that do not conform to CDASH best practices. The use of such questionnaires in their native format does not affect conformance.

All QRS questions and reply choices are presented as validated in the CRF. 

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Aligning data collection variables values and target tabulation variables values when collection and tabulation variable names are the same. Minimal processing, such as changing case when mapping a data collection variable value into a tabulation variable, does not affect conformance.

Data output by the operational database into a tabulation dataset variable requires minimal processing when the data collection and tabulation variable names are the same

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Presenting validated QRS questions and reply choices as validated in the CRF. In some cases, this may result in CRFs that do not conform to CDASH best practices. The use of such questionnaires in their native format does not affect conformance.

All QRS questions and reply choices are presented as validated in the CRF


For tabulation datasets, conformance to standards is minimally ensured by: 

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NumConformanceImplementation
1

Representing all collected, assigned, and relevant derived data in applicable datasets.

All data generated as part of documentation (Protocol?), collected as part of study conduct per scientific and regulatory requirements are included in the standardized tabulation dataset.
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  • Following the complete metadata structure for data domains

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  • Following SDTMIG domain models wherever applicable

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  • Using specified standard domain names and prefixes per controlled terminology where applicable
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  • Following SDTM-specified controlled terminology and format guidelines for variables, when provided
6Following conventions for variable names.The names of variables are standardized per tabulation guidance for all variables in a the dataset.
7Following conventions for variable labels.The labels for variables are standardized per tabulation guidance for all variables in a the dataset.
8Following 
  • Including all Required and Expected variables as columns in standard domains, and ensuring that all Required variables are populated
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Conforming to guidance in CDISC Notes column and general and domain-specific assumptions.



8Following Core designations.

All Required and Expected tabulation variables are included as columns in the dataset. Required tabulation variables are populated for all records in the dataset.


For analysis datasets, conformance to standards is minimally ensured by: 

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