Scientists and researchers across the disciplines are faced with the challenges of dealing with increasing amounts of data, including Efficient Lifecycle Management and provision of optimal data access. To better organize access to and management of such data, EUDAT is building discipline-specific, domain-wide and cross-disciplinary data infrastructures. Although different disciplines often have different approaches to handling data, EUDAT has identified common building blocks that are reoccurring in most of the architectures currently being designed or implemented.
EUDAT is therefore offering FREE training courses where interested people from ALL research disciplines can benefit from the knowledge of experts who understand the theory of data architectures and have practical experience of concrete implementations at work. Where possible, EUDAT will bring in external experts to give some of these courses.
In general, EUDAT courses will adopt the following approach:
- General Introduction and Overview
- Principles and Technologies
- Hands-on practice.
Please note that these training courses are meant for data practitioners: people who are designing and building data management solutions.