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For domains based on the SDTM General Observations Classes, 

If a logically related grouping of data is in scope for a domain defined in this guide , but not all data can be represented using the domain variables, then data may be represented by adding variables from the SDTM to the domain or by using a Supplemental Qualifier dataset related to the domain.

Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyTOBA-793
Prior to adding variables from the SDTM or considering a Supplemental Qualifier dataset, confirm that none of the existing domain variables will fit the need. Variables may be added to a domain and Supplemental Qualifier datasets may only used when the domain is based on the SDTM General Observation Classes
Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyTOBA-794
If a logically related grouping of data is in scope for a domain defined in this guide, but not all data can be represented using the domain variables, then data may be represented by adding variables from the SDTM to the domain or by using a Supplemental Qualifier dataset related to the domain. Prior to adding variables from the SDTM or considering a Supplemental Qualifier dataset, confirm that none of the existing domain variables will fit the need. Variables may be added to a domain and Supplemental Qualifier datasets may only used when the domain is based on the SDTM General Observation Classes be used when data data are different in nature and are not in scope for variables which already exist in the domain.  existing domain variables.  

Once confirmed, determine whether adding a variable from the SDTM will fit the need. If adding a variable from the SDTM meets the need, then a Supplemental Qualifier dataset will not be implemented. Supplemental Qualifier datasets will only be implemented for domains when data are not in scope for a variable defined in the SDTM. 

The overall process for extending a domain is as follows:

  1. Select variables for the domain from the SDTM. Variables may only be selected from General ObSelection Selection of variables must align with SDTM Usage Restrictionsusage restrictions.The general approach for adding variables to a domain from the SDTM is to:
    1. Include applicable Identifier variables.
    2. Include applicable Qualifier variables from in alignment with the identified SDTM General Observation ClassClasses.
    3. Include the applicable SDTM Timing variables. In general, the domain must have at least one timing variable.
    4. Apply the domain code to the variables as appropriate variables in the domain by replacing all variable prefixes (shown in the SDTM as “--“) with the domain code.
    5. Set the Set the order of variables consistent with the order defined in the SDTM for the general observation class.
    6. Adjust the labels of the variables only as appropriate to convey their meaning in the context of the data in the newly created domain. Use title case for all labels.

    7. Ensure that appropriate standard variables are being properly applied by comparing their use in the custom domain to their use in related TIG domains.

  2. Place any non-SDTM variables NSVs in a Supplemental Qualifier dataset when variables cannot be selected from the SDTM. 

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