Background
The ENVRI Community International Winter School 2021 'ENVRI-FAIR Resources: Access & Discoverability' focuses on Data FAIRness focuses and covers semantic navigation, Jupyter environments for visualisation and data discovery, resource access tools and cloud computing. Aiming at supporting end users to make the best use of the data, the School establishes the end user perspective as a crucial element to develop good user interfaces and services to interact with data.
Learning Objectives
It is expected that, by the end of the course, participants will be better positioned to:
1. Discuss basic concepts of semantics presenting how they can enrich data resources, enhance FAIRness and foster discoverability of data resources
2. Examine the full life cycle of an 'on demand' model run and results visualization for the creation of a new data product.
3. Illustrate how resources (datasets, services, workflows) can be created, published and accessed on a metadata catalogue (LifeWatch ERIC Metadata Catalogue).
4. Demonstrate the basic steps to run a legacy application in cloud, develop native cloud applications, automate application deployment and auto-scale a runtime application.
Content and Structure
Training Sessions:
1. Semantics
2. VREs, Data analysis and Visualization
3. Resource Access Tools
4. Cloud computing for developing and operating data management services
Target Audience
The resource is aimed at data centres staff, RIs representatives, IT experts and individuals interested in data access and discoverability.