How Standards Work Together

An explanation of the General Observation Classes and "Special Purpose domains" might be in order. Maybe the concept map from the SDTM model (PDF page 8) or a modified version of it would be sufficient at this stage of the TIG.

In draft

Standards in this guide are end-to-end implementations of CDISC models designed to ensure the traceability and transparency of data across activities in the data lifecycle. Implementation of models per this guide in relation to activities which support collection, tabulation, analysis, and exchange of data are further described in the table below.

Observations

are imputed for analysis purposes, the imputed dates will be generated in the Analysis Data Model (ADaM) but not in the SDTM submission data sets.

Standards for Collection

Standards for Tabulation

Standards for Analysis

CDISC CDASH Model

In this guide, the CDASH Model is implemented to support development of CRFs for the Product Impact on Individual Health use case only. The CDASH Model is the earliest model implemented for this use case.
The CDASH Model defines a basic set of data collection fields that are expected to be present on the majority of CRFs.
The use of CDASH data collection fields and variables facilitates mapping to tabulation datasets implemented from the SDTM.
When data can be collected as it will be represented in a tabulation dataset, with no transformations or derivations, the TIG SDTM variable names are presented in the TIG CDASH to collect the data.
In cases where collected data must be transformed or reformatted prior to inclusion in a tabulation dataset, or where a corresponding SDTMIG variable does not exist, CDASH has created standardized data collection variable names.

CDISC SDTM

The SDTM is implemented for use cases

CDISC ADaM

Standards for Data Exchange