Programme

First week

  Monday, Jan. 11

  • 09:00-09:30: welcome session
  • 09:30-11:00: introductory session

  Tuesday, Jan. 12 

  • 09:00-11:00: Antonio José Sáenz-Albanés & José María García-Rodríguez – Semantics
    In this session you will learn basic concepts about semantics and how it can enrich your data resources and increase its FAIRness, turning it into machine-actionable data that can be effectively discovered and accessed by interested parties. We will also consider additional aspects to foster the discoverability of data resources, such as security and relevant software tools.
  • 11:00-12:00: Breakout room 

  Wednesday, Jan. 13

  • 09:00-11:00: Ute Karstens, Claudio D'Onofrio, Karolina Pantazatou, Ida Storm – VREs, Data Analysis & Visualisation
    A short presentation is given on a fully integrated web application at ICOS Carbon Portal, on the example of the atmospheric transport model STILT. We will run through a full life cycle for an 'on demand' model run and results visualisation. Further on we will show case how to use the results to create a new data product. A hands-on workshop follows to create a simple timeseries plot comparing STILT results with observational data and creating an interactive map for the station location.
  • 11:00-12:00: Breakout room 

  Friday, Jan. 15

  • 09:00-12:00 : unsupervised session for assignments

Second week

  Monday, Jan. 18

  • 09:00-11:00: Nicola Fiore & Lucia Vaira – Resource access tools
    A short presentation will be given on the LifeWatch ERIC Metadata Catalogue in order to show how resources (datasets, services, workflows, etc.) can be published on a catalogue. In particular, we will go through the entire process behind the resource publication and we will show how to create/publish/access new resources. A breakout room will follow the lecture to let students creating their own resources.
  • 11:00-12:00: Breakout room

  Tuesday, Jan. 19 

  • 09:00-11:00: Zhiming Zhao - Cloud computing for developing and operating data management services
    We will discuss how to develop and operate data management services in cloud environments. By using examples from the ENVRIplus and ENVRI-FAIR projects, we will demonstrate the basic steps to run a legacy application in cloud, to develop native cloud applications, to automate the application deployment, and to auto-scale a runtime application. Students will practice on the cloud infrastructures offered by providers such as EOSC or LifeWatch.
  • 11:00-12:00: Breakout room

  Thursday, Jan. 21

  • 09:00-12:00 : unsupervised session for assignments

  Friday, Jan. 22

  • 09:00-11:00: participants' presentations
  • 11:30-12:00: closing session 

The ENVRI Community International Winter School will use the ENVRI-FAIR Training Platform for all modules to accompany participants in the learning process and enabling the access to its resources and products.

 

INTERNATIONAL SUMMER SCHOOL Data FAIRness in Environmental & Earth Science Infrastructures