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Clinical Data Management (CDM) - The Ultimate Overview
Role Play
Rating: 4.5 out of 5(456 ratings)
1,337 students

Clinical Data Management (CDM) - The Ultimate Overview

Mastering Clinical Data Management: Learn and build a successful career in Clinical Trials and Research
Created byGeorgi Smarts
Last updated 7/2026
English

What you'll learn

  • Fundamentals of clinical data management, including data collection, storage, and analysis
  • Regulatory Frameworks of Clinical Data Management
  • What are Clinical Data Management Plan
  • What are CRFs and how are they related to Clinical Data Management
  • What are Informed Consent Forms
  • Query Management in Clinical Data Management
  • Database Locking Procedures
  • How to develop a Statistical Analysis Plan
  • What is a Clinical Study Report
  • The trends and future of Clinical Data Management

Course content

14 sections49 lectures3h 50m total length
  • Introduction4:03
  • Download the course materials1:02

Requirements

  • Basic understanding of data terms will be helpful but not necessary.

Description

This course contains the use of artificial intelligence.

Welcome to "Clinical Data Management (CDM) - The Ultimate Overview," a comprehensive course designed for professionals and students eager to master the essential principles and practices of clinical data management. In the fast-paced world of clinical research, effective data management is crucial for the success of trials and the integrity of research findings.

What You Will Learn:

  • Fundamentals of Clinical Data Management: Understand the key concepts, terminology, and processes involved in CDM, including data collection, validation, and analysis.


  • Regulatory Compliance: Gain insights into the regulatory landscape governing clinical trials, including Good Clinical Practice (GCP) and the role of regulatory authorities such as the FDA and EMA.


  • Data Management Lifecycle: Explore the entire data management lifecycle, from study design and data collection to database lock and reporting, ensuring you grasp each critical step.


  • Data Quality Assurance: Learn techniques for ensuring data accuracy and reliability, including data cleaning, validation checks, and audit trails.


  • Technology in CDM: Discover the latest tools and technologies used in clinical data management, including Electronic Data Capture (EDC) systems and data analytics software.


  • Practice: Practice your new skills with quizzes and practice tests.

This course is ideal for clinical research associates, data managers, biostatisticians, and anyone involved in clinical trials or interested in pursuing a career in clinical data management. Whether you are a beginner or looking to enhance your existing knowledge, this course provides valuable insights and practical skills.

Enroll today and take the first step towards mastering Clinical Data Management!

This course contains a promotion.


Who this course is for:

  • Clinical research associates and coordinators
  • Data managers and data entry personnel
  • Biostatisticians and data analysts
  • Pharmaceutical and biotechnology industry professionals
  • Graduate students and researchers in the field of clinical research
  • Anyone interested in learning more about Clinical Research, Clinical Trials and Clinical Data Management