Page History

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 dataset related to the domain. Prior to adding variables from the SDTM or considering a supplemental dataset, confirm that none of the existing domain variables will fit the need. Variables may be added to a domain and supplemental datasets may only be used when data are different in nature and are not in scope for variables which already exist in the domain.  

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 related supplemental dataset will not be implemented. Supplemental datasets will only be implemented when data are not in scope for a variable defined in the SDTM.

SDTM - The SDTM Standard Domain Models

Final domains will be published only in an SDTM implementation guide (this guide or another implementation guide, e.g., SDTMIG for Medical Devices). Therapeutic-area standards projects and other projects may develop proposals for additional domains. Draft versions of these domains may be made available in the CDISC wiki in the SDTM Draft Domains space (https://wiki.cdisc.org/display/SDD/SDTM+Draft+Domains+Home).

These general rules apply when determining which variables to include in a domain:

• The Identifier variables, STUDYID, USUBJID, DOMAIN, and --SEQ are required in all domains based on the general observation classes. Other Identifiers may be added as needed.
• Any Timing variables are permissible for use in any submission dataset based on a general observation class except where restricted by specific domain assumptions.
• Any additional Qualifier variables from the same general observation class may be added to a domain model except where restricted by specific domain assumptions.
• Sponsors may not add any variables other than those described in the preceding 3 bullets. The SDTM allows for the inclusion of a sponsor's non-SDTM variables using the Supplemental Qualifiers special-purpose dataset structure, described in Section 8.4, Relating Non-standard Variable Values to a Parent Domain. As the SDTM continues to evolve, certain additional standard variables may be added to the general observation classes. 
• Standard variables must not be renamed or modified for novel usage. Their metadata should not be changed.
• A Permissible variable should be used in an SDTM dataset wherever appropriate.  
  • If a study includes a data item that would be represented in a Permissible variable, then that variable must be included in the SDTM dataset, even if null. Refer to the Define-XML standard (available at https://www.cdisc.org/standards/data-exchange/define-xml) for additional details on how to manage no data availability.
  • If a study did not include a data item that would be represented in a Permissible variable, then that variable should not be included in the SDTM dataset and should not be declared in the Define-XML document.

SEND

Additional timing variables (see SDTM v1.5 Table 2.2.5; https://www.cdisc.org/standards/foundational/sdtm/) can be added as needed to a standard domain model based on the 3 general observation classes. Timing variables can be added to special-purpose domains only where specified in the SENDIG domain model assumptions. Timing variables cannot be added to SUPP-- datasets or to RELREC (see Section 8, Representing Relationships and Data). Timing variables cannot be added to the Trial Design Model datasets (see Section 7, Trial Design Model Datasets).

Once confirmed, determining attributes for the variable upfront per the SDTM and the conventions in Section x.x, How to Read Domain Specifications or guidance in for supplemental datasets in <Section for supplemental qualifiers here> is recommended to ensure expectations for data representation are clear. Custom domains and corresponding specifications must be created based on the three general observation classes, Interventions, Events, and Findings, described in the SDTM. In most cases, the choice of observation class appropriate to a specific collection of data can be easily determined according to descriptions of these classes in the SDTM. The majority of data, which typically consists of measurements or responses to questions, usually at specific visits or time points, will fit the Findings general observation class. 

...

Variables in the domains should be ordered with identifiers first, followed by the topic, qualifier, and timing variables.

SDTM - The SDTM Standard Domain Models

Final domains will be published only in an SDTM implementation guide (this guide or another implementation guide, e.g., SDTMIG for Medical Devices). Therapeutic-area standards projects and other projects may develop proposals for additional domains. Draft versions of these domains may be made available in the CDISC wiki in the SDTM Draft Domains space (https://wiki.cdisc.org/display/SDD/SDTM+Draft+Domains+Home).

These general rules apply when determining which variables to include in a domain:

...

,

...

and

...

SEND

Additional timing variables (see SDTM v1.5 Table 2.2.5; https://www.cdisc.org/standards/foundational/sdtm/) can be added as needed to a standard domain model based on the 3 general observation classes. Timing variables can be added to special-purpose domains only where specified in the SENDIG domain model assumptions. Timing variables cannot be added to SUPP-- datasets or to RELREC (see Section 8, Representing Relationships and Data). Timing variables cannot be added to the Trial Design Model datasets (see Section 7, Trial Design Model Datasets).