About this course

Expectation from health research funders, regulatory agencies, and journals for sharing of de-identified individual-level health research data is now increasing. Arguments in favour of data sharing include maximising the utility of the data, improving research transparency and allowing confirmation of the interpretation of results, with the overall goal of improving science and health. However, the volume of data shared remains low. This has been partially attributed to lack of data management capacity and lack of knowledge of how and where to share data. This course aims to fill this gap by giving you basic and practical guidance in data management and sharing.

Each module has been written by an author/authors expert in the subject matter and has been peer-reviewed.

Target audience

This course is aimed at early career researchers, postgraduate students and clinical research support staff who are collecting, managing and using health data. It is not designed to train data managers or statisticians, however some modules might be useful to them.

Structure and Duration

Each module takes approximately 45 minutes to 1 hour to complete.

The course is divided into nine inter-related modules covering the basics of data management and data sharing. You do not need to take all of the courses or in order. Each module addresses a specific aspect of data sharing, and can be taken on its own, and where applicable within the module you will get directed to related module(s).

Certification

The quiz for each module has been created to test your knowledge of the course material and to gain certification to demonstrate that you have successfully completed the module. We recommend that each quiz is taken directly after completing its associated module. Because this course is still under development, the modules will be released as they become available. An electronic certificate of completion will be awarded for each individual module once a minimum of 80% is achieved in the module quiz.

NoteIt is not compulsory to take the quizzes; this is only if certification is desired, and course modules can be accessed independently.

Course Contents

Module 1 Introduction to data management Acknowledgements
Module 2 Ethics and best practices in sharing individual-level research data Acknowledgements
Module 3 Data governance, policies and Data Access Committees Acknowledgements
Module 4 Data quality  
Module 5 Data re-use principles  
Module 6 Data repositories  
Module 7 Advanced concepts in data management  
Module 8 Preparing datasets for sharing  
Module 9 Costing for data management  

About the course developers and authors

  • Naomi Waithira, Mahidol Oxford Tropical Medicine Research Unit

  • Brian Mutinda, Mahidol Oxford Tropical Medicine Research Unit

  • Phaik Yeong Cheah, Mahidol Oxford Tropical Medicine Research Unit

This course has been developed in collaboration with the Global Health Network, the Infectious Disease Data Observatory, the Ethox Centre, Oxford University Clinical Research Unit (Vietnam), the Committee on Data of the International Science Council and the COVID-19 Coalition Data Sharing Working Group.

Phaik Yeong is a bioethicist and the coordinator of the Mahidol Oxford Tropical Medicine Research Unit Data Access Committee (MORU DAC). She led the development of the MORU data sharing policy and the setup of the MORU Data Management department. Naomi and Brian are experienced data managers and have conducted training on data management. Naomi is also a member of the MORU DAC. Phaik Yeong Cheah, Naomi Waithira and Brian Mutinda are members of the COVID-19 Coalition Data Sharing Working Group.

Funder

Wellcome Trust Research Enrichment, Open Research (106698/Z/14/J) grant and the World Health Organization and TDR (the Special Programme Research and Training in Tropical Diseases) under grant P20-00060.’

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