Structure

INTERNATIONAL SUMMER SCHOOL Data FAIRness in Environmental & Earth Science Infrastructures: theory and practice

The course focused on the specific Data FAIRness phase in the Environmental and Earth sciences. It was built as a five-day summer school where leading scientists could address this topic from different perspectives. The aim was to gather the most interesting perspectives of our time.

We offered a cutting edge and high-quality programme, aimed at fostering a rich and lively intellectual exchange.

INTERNATIONAL SUMMER SCHOOL Data FAIRness

Programme

First week

Monday 11 Jan

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

Tuesday 12 Jan

  • 09:00-11:00: Antonio José Sáenz-Albanés & José María García-Rodríguez – Semantics
    In this session participants learned 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 also considered additional aspects to foster the discoverability of data resources, such as security and relevant software tools.
  • 11:00-12:00: Breakout rooms

Wednesday 13 Jan

  • 09:00-11:00: Ute Karstens, Claudio D’Onofrio, Karolina Pantazatou, Ida Storm – VREs, Data Analysis & Visualisation
    A short presentation was given on a fully integrated web application at ICOS Carbon Portal, on the example of the atmospheric transport model STILT. We went through a full life cycle for an ‘on demand’ model run and results visualisation. We then showcased 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 rooms

Friday 15 Jan

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

Second week

Monday 18 Jan

  • 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. In particular, we went through the entire process behind the resource publication and we showed how to create/publish/access new resources. A breakout room followed the lecture to let students create their own resources.
  • 11:00-12:00: Breakout room

Tuesday 19 Jan

  • 09:00-11:00: Zhiming Zhao – Cloud computing for developing and operating data management services
    We discussed how to develop and operate data management services in cloud environments. By using examples from the ENVRIplus and ENVRI-FAIR projects, we demonstrated 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 practiced on the cloud infrastructures offered by providers such as EOSC or LifeWatch.
  • 11:00-12:00: breakout rooms

Thursday 21 Jan

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

Friday 22 Jan

  • 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 accompany participants in the learning process and enable access to its resources and products.