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
    This session was on 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. Additional aspects to foster the discoverability of data resources, such as security and relevant software tools, were also explored.
  • 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. A full life cycle was run for an 'on demand' model run and results visualisation. There was a show case how to use the results to create a new data product. A hands-on workshop followed 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 was given on the LifeWatch ERIC Metadata Catalogue in order to show how resources (datasets, services, workflows, etc.) can be published on a catalogue. The entire process behind the resource publication was explored, demonstrating how to create/publish/access new resources. A breakout room took place after the lecture to let students create 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
    A discussion on how to develop and operate data management services in cloud environments. By using examples from the ENVRIplus and ENVRI-FAIR projects, 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 were demonstrated. Students were given the opportunity to practise 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 used the ENVRI-FAIR Training Platform for all modules to support participants during the learning process and enabling access to its resources and services.

 

ENVRI IWS DATA FAIRness