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The ADaM establishes a standard way to build datasets that support analysis needs and the efficient generation, replication, and review of analysis results. Guidance in this section implements ADaM for  the ADaM for TIG Product Description, Product Impact on Individual Health, and Product Impact on Population Health use cases . The underlying assumptions, statistical methods, transformations, derivations and imputations performed in the analysis of tobacco product data should be communicated clearly and in such a manner that the values and results can be easily replicated. ADaM metadata facilitates this communication by providing specification of details and links between the general description of the analysis (e.g., as found in the protocol’s data analysis section, SAP, or the reported analysis methods), the analysis results, the data used in the analysis, and the SDTM domains when applicable.

The CDASH Model establishes a standard way to collect data across studies. Guidance in this section implements the CDASH Model for the TIG Product Impact on Individual Health use case and provides:

• Basic data collection guidance and best practices.
• Guidance for development, management, and use of case report forms (CRFs) irrespective of the inclusion of collected data in subsequent tabulation datasets.
• Guidance for mapping data collected via CRFs to tabulation datasets be used to as applicable with guidance in Section x.x, Standards for Tabulation.

The TIG supports development of CRFs but does not formally address data collection via other sources. Guidance in this section suggests a format to be presented to those entering collected data using CRFs but does not dictate any data structure or system in which to store the collected data. Applicants may choose to develop libraries of CRFs for organizational use. In such cases, following both the CDASH Model and TIG recommendations, taking into consideration both scientific and regulatory requirements, is recommended. To gain the greatest benefit, CRFs should not be developed on a study-by-study basis within the implementer organization, but rather be brought into a study from a library of approved CRFs based on the CDASH Model and the TIG, whenever feasible. 

provides:

• Fundamental principles that apply to all analysis datasets
• Dataset structures
• Metadata for data and results

The TIG covers the fundamentals describing ADaM as well as dataset examples that are typically created to support analyses performed for tobacco submissionsUpdate text here to include reference datasets and Product Description.