ADaM Advanced

Course Description 

The ADaM Advanced Topics training explores topics beyond ADaM Core Theory and Application. Course topics are drawn from real-world examples identified through the standard development process as well as by the CDISC user community and our expert ADaM instructors. 


  • Module 1: Metadata
  • Module 2: Traceability in complex data flows
  • Module 3: Adding Criteria Variables to BDS
  • Module 4: Building Better ADaM
  • Module 5: Choosing the Best ADaM structure

Learning Outcomes

At the end of this course, learners will be able to:

  • Describe material relevant to submission, including ADaM metadata. ​
  • Recognize when to use an intermediate dataset, designing a complex data flow that adheres to the ADaM fundamental principles.​ 
  • Demonstrate when and how to use criteria variables in BDS. ​ 
  • Correctly implement commonly misused variables.​ 
  • Identify the limitations of automated conformance checks 
  • Choose the appropriate dataset structure in order to produce an analysis-ready dataset. 

The learner must receive a score of 80% or higher on the Final Assessment to earn 1.1 IACET CEUs.

Course Type

Virtual Classroom

Course Length

1-1/2 Days