6 Credits
October - January
This subject aims to provide students with a global vision of what is known as Data Science, problems in Big Data and the context of Open Science.
1. Introduction to the context of Open Science.
2. Relevance of Big Data Problems in Open Science
3. The focus from Data Science
4. Relevant examples of Open Science Data Science applications
5. Solution Architecture.
6. Description of e-Infrastructures and the corresponding Middleware
7. Overview of use cases in the areas of Health, Environment, Urbanism, Economics, Astrophysics, Social Sciences, Humanities, Public Management.
8. Problems and challenges.
9. Professional Profiles in the Data Science Ecosystem.
10. New trends and developments.
11. Projects and initiatives, institutions and companies involved.