Enrolment options
Background
This fourth edition of the ENVRI FAIR School represents another unmissable opportunity to learn about FAIRness in the framework of Research Infrastructures. After dealing with Data FAIRness and Data Management during previous editions, this edition of the school focuses on Services for FAIRness, from their design to their development and publication.
Learning Objectives
It is expected that, by the end of the course, participants will be better positioned to:
1. Examine approaches and methodologies to webservices for data
2. Map tools and their related characteristics
3. Illustrate potential security threats and related solutions
4. Design (step by step) data services
5. Develop and publish a data service
Contents and Structure
Training Sessions:
1. Overview on the ENVRI project and goals
2. Design webservices for data
3. Develop webservices for data
4. Publish and secure data services by means of APIs
5. Best practices and lessons learned (experts panel)
Target Audience
The resource is aimed at ENVRI data centres staff, RIs representatives, IT experts, researchers and PhD candidates and individuals interested in developing webservices.
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