Duration:
The course should take on average 30-40 minutes to complete.

Certification:
Separate certificates are issued for each part of the course once a minimum of 80% has been achieved in the final quiz sections.

Languages:
English

Related Resources:
MRC Clinical Trials Unit | Global Health Trials Hub | Study Cycle Main Resources | Process Map

DATA CAPTURE, MANAGEMENT & ANALYSIS 

Good data management is key to maintaining, processing, analysing and storing high quality data. This course provides an overview and guide to this important element of the research process and is aimed at everyone involved in clinical research.

Objectives

Upon completion of this course, you will have an understanding of:

  1. What data management is and the purpose of a data management plan
  2. The factors to be considered in the design and type of a case report form
  3. What should be taken into account when completing and data entering a case report form and closing the data set
  4. Considerations for data analysis
  5. What is important when deciding on a data management system

 

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Acknowledgements

The Global Health Training Centre is built through the support and partnership of the World-Wide Antimalarial Resistance Network and the East African Consortium for Clinical Research.

Editor:

  • Mary Logan - Global Health Network Training Manager

Reviewers:

  • Andy Burke - CTSU, Oxford University.

Funders:

This module has been funded by the WorldWide Antimalarial Resistance Network (WWARN).

Source Material:

This course is based on the material very kindly supplied by:

  • Truphosa Omollo - Drugs for Neglected Diseases initiative (DNDi) Data Centre.
  • Lesley Workman - Division of Clinical Pharmacology, University of Cape Town.

Use and reproduction of these elearning materials:

These e-learning materials are owned by The Global Health Network. You are free to share or adapt this material but you must attribute it to The Global Health Network using the link www.theglobalhealthnetwork.org.

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This course was produced by The Global Health Network in collaboration with The University of Oxford.

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