STUDY DATA TABULATION MODEL (SDTM) - Qtech-Sol USA offers Clinical Research / Trials, Pharmacovigilance, Drug Safety, Clinical Data Management, Clinical SAS Programming and Healthcare BA Training Programs
Category:
Analytics and Reporting
 
Duration:
4 Weeks / 100 Hours
 

STUDY DATA TABULATION MODEL

Introduction – STUDY DATA TABULATION MODEL (SDTM)

In clinical research, standardized data submission is critical for regulatory approval. The Study Data Tabulation Model (SDTM), developed by the Clinical Data Interchange Standards Consortium (CDISC), is the global standard for organizing and formatting clinical trial data submitted to regulatory agencies such as the FDA and PMDA.
The SDTM program introduces learners to the structure, domains, and mapping rules of SDTM, preparing them to transform raw clinical data into standardized datasets ready for submission. This program is essential for clinical data managers, statistical programmers, and regulatory submission specialists aiming to work in FDA/EMA-compliant environments.

Course Name :  STUDY DATA TABULATION MODEL
Course Code :  SDTM
Experience Level :  Intermediate to Advanced
Qualification :  : Bachelor’s / Master’s in Life Sciences, Statistics, Computer Science, or related fields
Student Category :  : Clinical Data Managers, SAS Programmers, Biostatisticians, Regulatory Submission Specialists

Delivery Type

SIP – Self-Paced Online with Support

Duration & Delivery
  1. Course Duration: 4 weeks (100 hours)
  2. Format: Self-Paced Online with Support (narrated lessons, readings, quizzes, and role-based tasks).
Key Learning Objectives

   By completing this program, learners will:

  1. Understand the purpose and importance of SDTM in regulatory submissions.
  2. Learn the structure and metadata rules defined by CDISC.
  3. Gain familiarity with SDTM domains (Demographics, Adverse Events, Concomitant Medications, Exposure, etc.).
  4. Understand controlled terminology and compliance checks.
  5. Perform raw-to-SDTM data mapping using case examples.
  6. Learn about validation tools (Pinnacle 21, OpenCDISC).
  7. Explore the role of SDTM in submission packages (Define.xml, SDRG).
  8. Review real-world case studies of SDTM mapping and regulatory feedback.
Who Should Take This Course
  1. Clinical Data Managers standardizing study data.
  2. Statistical Programmers / SAS Programmers preparing regulatory datasets.
  3. Biostatisticians involved in data analysis and submissions.
  4. Regulatory submission staff handling CDISC-compliant datasets.
  5. Career changers with data science/programming backgrounds entering pharma.
Benefits & Outcomes
  1. Build practical skills in CDISC SDTM mapping and validation.
  2. Be job-ready for roles in clinical data management, statistical programming, and submissions.
  3. Gain experience with real-world case mapping exercises.
  4. Ensure compliance with FDA, EMA, and PMDA submission requirements.
  5. Pathway to advanced training in ADaM (Analysis Data Model) and TLG (Tables, Listings, Graphs) programming.
Career Pathways: After completing this course.
  1. Clinical Data Standards Specialist
  2. CDISC SDTM Programmer
  3. Statistical Programmer (Regulatory Submissions)
  4. Clinical Data Manager (CDM – SDTM Expert)
  5. Regulatory Data Compliance Analyst

Curriculum & Modules

Modules
1. Introduction to CDISC Standards & SDTM

2. Structure & Metadata: SDTMIG (Implementation Guide)

3. General vs. Special Purpose Domains

4. Key SDTM Domains (DM, AE, CM, EX, VS, LB, etc.)

5. Controlled Terminology & Coding Standards

6. Raw Data → SDTM Mapping Concepts

7. Common Mapping Challenges & Best Practices

8. Validation Tools (Pinnacle 21, OpenCDISC)

9. Define.xml & Study Data Reviewer’s Guide (SDRG)

10. SDTM in Regulatory Submissions (FDA, PMDA, EMA)

11. Case Studies – Building SDTM Datasets from Clinical Data

12. Future of SDTM: Automation & AI in Data Standardization

Getting in Touch:

For more information, please call us at +1 732.770.4100 / +1 732.207.4564 (WhatsApp) or email qpdc@qtech-solutions.com. Our course specialists will reach out to you promptly to assist you in taking the next steps toward your career goals.