Background
In recent years, one of the major challenges in the Environmental and Earth Science has been managing and searching larger volumes of complex data, collected across multiple disciplines. Many different standards, technologies and common practices have been developed to support each phase of the Data Lifecycle. This course focuses on the creation and reuse of FAIR data and services in the Environmental and Earth sciences.
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.