The Data Life Cycle: Practices and Policies

This course is an update and relaunch of the previous Data Sharing course. Expectation from health research funders, regulatory agencies, and journals for sharing of de-identified individual-level health research data has been 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.

As part of recent updates, each module has been updated with the latest references and practical guidance in data management and sharing. The modules are written by an author/authors expert in the subject matter and have been peer-reviewed.

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.

Course Modules:

• Introductory Module: Principles on sharing data and benefits for public health
• Module 1: Introduction to data management
• Module 2: Ethics of sharing individual level health research data
• Module 3: Data governance, policies and Data Access
• Module 4: Data quality
• Module 5: Costing data management and sharing
• Module 6: Data repositories

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