FAIRsFAIR, EOSC-Pillar, EOSC-Synergy and Ghent University Instructor Training Workshop 7-11 June 2021
07 June 2021 to 11 June 2021


FAIRsFAIR - Fostering Fair Data Practices in Europe - aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. Emphasis is on fostering FAIR data culture and the uptake of good practices in making data FAIR. 

The EOSC-Pillar project aims to coordinate national open science efforts across Austria, Belgium, France, Germany and Italy, and ensure their contribution and readiness for the implementation of the European Open Science Cloud (EOSC). Its Work Package on “Establishing FAIR Data Services” at the national and transnational level includes setting up support and training activities to facilitate the dissemination and adoption of FAIR standards for research data management. 

Ghent University is the Belgian partner in EOSC-Pillar, contributing to the Work Package on “Establishing FAIR Data Services” and coordinating the development of the EOSC-Pillar Training and Support Catalogue. The University was the National Open Access Desk for Belgium in the successive OpenAIRE projects, and is actively involved in national and regional open science networks such as Open Access Belgium and the Flemish Open Science Board (FOSB).  

Together, FAIRsFAIR, EOSC-Pillar and Ghent University will deliver a three day train-the-trainer workshop to support the development of data stewardship skills among staff in universities and  other research institutions in Belgium. A key aim of this workshop is to foster a network of peers where those with more experience can share their knowledge with those just getting started.





This workshop aims to introduce participants to the key concepts and drivers for Open Science, RDM and FAIR data, to consider the existing local support service they can leverage and to identify areas where collaboration with peer institutions on support provision will be beneficial.


Learning outcomes

At the end of this workshop, participants will:

  • Be able to explain some of the political drivers for RDM, FAIR and Open Data 
  • Be able to explain the difference between FAIR and Open Data to researchers  
  • Be able to develop training courses to be run at their own institution using open learning resources 
  • Understand the range of skills and knowledge associated with data stewardship
  • Collectively identify areas where collaboration on service provision is most beneficial
  • Have set training goals for the next six months
  • Have established a peer network

Preliminary programme

Day 1 Monday  June 7th, 2021

Introduction and key messages 

10:00-10:20 Overall intro to RDM, FAIR and Open Science
10:20-10:30 Local view from EOSC Pillar
10:30-10:50 Introduction to pedagogy
10:50-11:00 Short break
11:00-11:45 Course development activity
11:45-14:00 Lunch break
14:00-15:00 Understanding Responsible and Open Research: Roles for Data Stewards

Day 2 Wednesday June 9th, 2021

Data Stewardship skills and knowledge 

10:00-10:15 What does a data steward do?
10:15-10:35 Group discussion of FAIR aware tool
10:35-10:50 Introduction to EOSC-pillar RDM Training and Support catalogue
10:50-11:00 Short break
11:00-11:50 Practical exercise: finding training materials, planning training and promotion
11:50-12:00 Brief introduction to terms4FAIRskills

Day 3 Friday June 11th, 2021

RDM service development and optimisation

10:00-10:10 Introduction of RDM service model and functions
10:10-10:25 Group discussion on challenges/issues of RDM service development
10:25-10:55 Training activity based on RISE model
10:55-11:05 Short break
11:05-11:30 Training activity based on RISE model: feedback time
11:30-11:50 Group activity on future goals
11:50-11:55 Summary and wrap up


  • Hugh Shanahan (University of London, FAIRsFAIR)
  • Joy Davidson, Digital Curation Centre, FAIRsFAIR
  • Linas Cepinskas, DANS, EOSC Synergy
  • Louise Bezuidenhout, University of Oxford
  • Myriam Mertens, Ghent University
  • Paula Oset, Ghent University, EOSC-Pillar
  • Venkataraman Shanmugasundaram, Digital Curation Centre


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