Clinical Data Management Course

Clinical Data Management Course: Data Management & Clinical Research

Course enrollment

$120.00

This course includes

  • Lessons

    50
  • Duration

    30h, 20m
  • Skill Level

    Advance
  • Language

    English, French
  • Certificate

    After completed
  • Deadline

    Nov 23, 2026
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  • Overview

  • Curriculum

  • Requirements

Module Name - Clinical Data Management

Course Overview

This comprehensive program offers an in-depth understanding of Clinical Data Management (CDM) and its crucial role in clinical research. The course guides learners through the full lifecycle of clinical data, from study initiation to database lock, focusing on best practices, regulatory compliance, and practical applications. Participants will gain hands-on knowledge of electronic data capture systems, project management in CDM, quality control processes, and the integration of modern clinical trial technologies.

What You Will Learn

  • CDM Fundamentals

    Understand the importance and evolution of CDM in clinical research.

  • Study Lifecycle Management

    Navigate the study lifecycle, from start-up to close-out, with expertise in CDM processes.

  • Project Management

    Apply project management principles in clinical trials, including risk management, audit readiness, and timeline tracking.

  • EDC & IWRS/IVRS Systems

    Utilize tools like Electronic Data Capture (EDC), Interactive Web Response System (IWRS), and Interactive Voice Response System (IVRS).

  • Study Documents

    Prepare and manage key study documents, such as Case Report Forms (CRFs), Study Design Specifications (SDS), Data Validation Plans (DVP), and Clinical Study Protocols.

  • Data Cleaning & Coding

    Implement data cleaning, query management, and coding processes using dictionaries like MedDRA and WHO-DD.

  • Quality Control

    Conduct quality checks and interim analysis, ensuring data accuracy, compliance, and integrity.

  • Database Lock

    Execute close-out activities, including database soft/hard lock procedures and regulatory documentation.

Why Choose This Course?

  • Industry-Relevant Curriculum: Covers all phases of CDM, including start-up, conduct, and close-out, aligned with current clinical research practices.

  • Hands-On Learning: Real-world scenarios for eCRF completion, database testing, and data validation.

  • Regulatory Insight: Emphasizes ICH GCP guidelines, data privacy, and audit readiness.

  • Career Advancement: Equips learners for roles such as Clinical Data Manager, Data Coordinator, or Project Management Support in clinical research.

  • Supplementary Resources: Access to mock eCRF and study workflow templates, EDC/IWRS/IVRS tools, MedDRA and WHO-DD coding dictionaries, and templates for Project Health Tracker, Soft Lock/Hard Lock forms, and Audit Preparation.

Career Outcomes

After completion, learners can pursue roles such as:

  • Clinical Data Manager

  • Data Coordinator

  • Project Management Support in Clinical Research

  • Clinical Data Associate

Requirements

To get the most out of this Clinical Data Management course, please ensure you meet the following requirements. These prerequisites will help you successfully complete the program and apply your learning effectively.

  • No Prior Writing Experience Required

    This course is beginner-friendly and does not assume prior clinical operations knowledge.

  • Life Sciences Background Preferred

    Suitable for graduates in life sciences, pharmacy, nursing, or related fields. Basic understanding of clinical research terminology and processes, and familiarity with Microsoft Office applications and data handling.

  • Computer with Internet Access

    You'll need a computer with internet connection for research and online resources.

  • Microsoft Word Software

    Access to Microsoft Word for document creation and formatting exercises.

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