The CODATA-RDA Research Data Science Summer School

During the event students will be provided with a preparatory reading list in the topics to remind themselves of what they had previously learnt. Over the period of two weeks, students will be able to attend a virtual session (1-2 hours a day) on each of the individual topics taught with a short review, new topics or updates since their last school, and strategies for instructing in this curriculum area (preparation, key teaching points, how to arrange the hands-on sessions, etc.).

Topics:

• Research Data management
• Open and Responsible Research
• Author Carpentry
• Visualisation
• Machine Learning
• Artificial Neural Networks
• Computational Infrastructures