Seoul, Korea - ADaM Core Theory & Application (IN-PERSON)

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

• Recognize the ADaM basics and general rules in order to build a foundation for ADaM implementation.
• Distinguish among ADaM data classes in order to build a foundation for ADaM implementation.
• Establish a basis for constructing different classes of ADaM datasets, including ADaM Subject Level Analysis Dataset (ADSL), ADaM Basic Data Structure (BDS) and ADaM Occurrence Data Structure (OCCDS).
• Determine when to create columns and rows in BDS, recognize the need for supportive data, and identify rows used for analysis and population specific records.
• Describe conformance rules, list the components of ADaM metadata and define.xml, as well as demonstrate working knowledge of the ADRG.

• Module 1: ADaM in the Clinical Data Process

• Module 2: ADaM Basics

• Module 3: ADaM Basics – Fundamental Principles

• Module 4: Traceability and Define-XML

• Module 5: ADaM Rules and Best Practices

• Module 6: ADaM Subject Level Analysis Dataset (ADSL)

• Module 7: Basic Data Structure (BDS)

• Module 8: ADaM Occurrence Data Structure (OCCDS)

• Module 9: Summary of ADaM Data Structures

• Module 10: ADaM Implementation Guide

• Module 11: ADaM Supplemental Documents