FAIRsFAIR, EOSC-Pillar, EOSC-Synergy and Ghent University Instructor Training Workshop

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.

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Aim

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

Speakers