In this tutorial, the ENVRI-FAIR Task Force 1 team introduced the ENVRI-FAIR Service Catalogue. In particular, after an overview of the Data Catalogue Vocabulary Application profile (DCAT-AP) and its extension (EPOS-DCAT-AP) in the solid-Earth domain, the team presented the DCAT metadata editor and a demo of the service catalogue.

Due to the COVID-19 emergency, our planned summer school, initially scheduled for July 10-15 has been postponed until January 2021. 

In the meanwhile, we decided to organize a three-day webinar programme, which will introduce the main topics of the winter school (the use of FAIR data in ENVRI Community, and for Environmental and Earth sciences research) with theoretical presentations, exercises and discussion.

Target audience: since the focus is about supporting end users in how to make the best use of the data, understanding the end user perspective is very important to develop good user interfaces and services to interact with data. The main target group are ENVRI-FAIR project partners data centre staff, but anyone interested can attend the webinars.

This is the milestone 22 of the ENVRI-FAIR project that presents the available training materials for the ENVRI data centers.


  • Dr. Clement Jonquet
  • Barbara Magagna
  • Markus Stocker

Target groups:
RI data center staff and others who are interested in the topic. No previous knowledge on terminologies is required, but we assume that you are familiar with basic aspects of research data management.

Course goal:
The course will give a good introduction into ontologies and how these can help “putting the I into FAIR”.
Participants will understand key concepts of the Semantic Web and knowledge representation techniques and see different examples of ontology & vocabulary portals. The course will be relevant to all ENVRI-FAIR sub-domains (atmosphere, marine, solid earth, and terrestrial ecosystem/biodiversity).

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 (Data Acquisition, Data Curation, Data Publishing, Data Processing and Data (Re)Use. The course will focus on the creation and reuse of  FAIR data and services in the Environmental and Earth sciences. It is built as a five-day summer school where leading scientists will address various topics from different perspectives.