The 2021 ENVRI Community International Winter School on Data FAIRness is taking place on January 11-22, 2021. The theme of the school is "ENVRI-FAIR Resources: Access & Discoverability", and it will cover a range of topics including semantic navigation, Jupyter environments for visualisation and data discovery, resource access tools and cloud computing.
Since the focus should 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 groups are the staff at ENVRI data centres, researchers and PhD candidates with the aim to: i) present state of the art technologies relevant to FAIRification of services; ii) based on real-life use cases, encourage adoption of new technology to enhance data center functionality; iii) enable new knowledge-exchange networks for ENVRI data professionals.
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.
From an inventory among the various subdomain work packages in ENVRI-FAIR, WP6 concluded that Provenance Tracing was high on the priority list of training requirements for RI's.
Using the very relevant outcomes of the ENVRIplus project as written down in Deliverable D8.5 (Data provenance and tracing for environmental sciences: system design), we have put together a series of events all focussing on this topic:
An introductory webinar addressing the basic theoretical background like: What's the importance, what does it relate to, what are the recording methods, how to make provenance tracing FAIR;
Three technical demonstrators of provenance tracing:
The PROV Template approach - Doron Goldfarb
The ENVRI-FAIR demonstrator focusing on provenance, and modeling a specific data production/processing workflow used at NILU. This technology demonstrator shows how to use PROV-O to represent provenance information for an example data processing workflow. - Markus Stocker
The EPOS Approach using the main catalogue - Keith Jeffery, Daniele Bailo;
A workshop type session in collaboration with WP7 to discuss cases, issues, problems and questions collected from the community, working towards practical support and -possibly- solutions.
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
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.
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.