A programme of short courses equipping young researchers globally with core data skills.

Our schools provide young researchers with the core skills that will allow them to be more effective and efficient in the work they do, to analyse the data at their disposal and to take advantage of the emerging culture of Open Science.

The primary goal of the Research Data Science School is to teach foundational Data Science skills to Early Career Researchers in LMICs, with a related goal of regionalizing training capacity by growing a community of alumni, instructors, classroom helpers, and hosting institutions. This train-the-trainer approach and growing community of regional trainers reduces the cost of the events for the local hosting institutions and increases the number of events that can be run.

Our strategic priority, shared by CODATA and the Research Data Alliance, is to build capacity and to develop skills, training young researchers in the principles of Research Data Science. It is also important that Open Data and Open Science benefit research in Low and Middle Income Countries (LMICs) and do not result in even greater inequalities in research and scientific output. On the contrary, it has been argued that the ‘Data Revolution’ provides a notable opportunity for reducing research inequality in a number of respects. For this reason, particular attention is paid to the needs of young researchers in LMICs.