FAIRsFAIR contribution to Data Stewardship & professionalisation: the Competence Centre

In line with the EC Expert Group on FAIR Data recommendations to professionalise data science and stewardship and to coordinate, systematise and accelerate the pedagogy and availability of training for data skills, data science and data stewardship, FAIRsFAIR is addressing the development of a FAIR Data Competence framework. This is meant to include FAIR data competences to be acquired through higher education, e.g. data science programmes in data-intensive and data-driven disciplines (all three cycles), and for graduates continuing to work as professionals in FAIR data management (e.g. data stewards, research infrastructure managers).

The expected competence framework will be targeted at institutions offering FAIR and Data related courses or aiming to do so. This will enable higher education institutions to address FAIR related competences already during study experiences, e.g. at Bachelor, Master or PhD level. FAIRsFAIR will also ‘translate’ the competence framework into materials usable by Higher Education Institutions (HEIs); in this way the FAIR model courses and curricula will be refined and improved. 

The competence centre will comprise a central ‘core’, based on the human resources of the FAIRsFAIR project, plus tailored knowledge base, growing throughout the project and feeding into each other, focused on specific communities.


FAIRsFAIR Training activities

FAIRsFAIR training activities include mapping data science programmes at universities and integrating FAIR data skills into them. Creating synergies with existing competence frameworks for data scientists, data stewards and other relevant professions, developing a FAIR data competence framework which can be integrated into those on different education levels, developing education and training material (e.g. model courses and curricula) for university programmes, and capacity building for universities to apply the material (e.g. for instance in doctoral education) are also envisaged.


FAIRsFAIR contribution to CODATA/RDA Schools

FAIRsFAIR project is building on the successful CODATA/Research Data Alliance schools model, which provides early career researchers with foundational data science skills in an established and validated two-week curriculum. FAIRsFAIR is rolling out this model across Europe, propagating the skills by “training the trainers”, and supplying francised modules which can be tailored for a particular community. FAIRsFAIR is also exploring how this could be included as an element in core university provision and the potential for formal accreditation.


 

Browse FAIRsFAIR training events and activities

 

Training

2021 CODATA-RDA School of Research Data Science - Trieste

upcoming
Date: 
06 September 2021 to 05 November 2021
Location: 
Virtual

SAVE THE DATE - 2021 CODATA-RDA School of Research Data Science - Trieste is taking place from 6th September till 5th November 2021 as a virtual event. This school provides Early Career Researchers (at MSc-level to 3 years after their PhD) and Professionals (who register via ITU Academy) with the necessary set of foundational Data Science skills to enable them to analyse their data in an efficient and effective manner for the 21st century.

FAIRsFAIR, EOSC-Synergy and NORF Data Steward Instructor Training 12-16 July 2021
Training

FAIRsFAIR, EOSC-Synergy and NORF Data Steward Instructor Training

Location: 
Virtual

Together, FAIRsFAIR, EOSC Synergy and Ireland’s National Open Research Forum (NORF) will deliver a three day instructor training workshop to support the development of data stewardship skills among staff in higher education institutions and other research performing organisations in Ireland.

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

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

Location: 
Virtual

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. 

2021 - CODATA-RDA School of Research Data Science – South Africa
Training

2021 - CODATA-RDA School of Research Data Science – South Africa

Location: 
Online

The School runs from 3 May to 9 July 2021 online, and is delivered by members of the CODATA-RDA Schools of Research Data Science team working closely with a team of local organisers in South Africa. 

CODATA-RDA School of Research Data Science
Training

2020 CODATA-RDA School of Research Data Science - Trieste

Location: 
Virtual

This year the CODATA/RDA Summer School will be going online between 31 August and 11 September!  There will be no face-to-face School at Trieste in 2020. 

FAIRsFAIR-CODATA-RDA Data Steward Training Series
Training

FAIRsFAIR-CODATA-RDA Data Steward Training Series

Location: 
Virtual

To help Data Stewards provide the best support and guidance to researchers, the FAIRsFAIR-CODATA-RDA Data Steward Training teams are organising an online training series in different universities worldwide. The goal of this training series is to equip Data Stewards with the foundational skills of Research Data Science and a solid grounding in responsible research practices.

Training

CODATA-RDA Summer School for Research Data Science

Location: 
Trieste, Italy

Part of the FAIRsFAIR Initiative, the 2019’s edition of the CODATA-RDA Summer School was dedicated to data stewardship and was held in Trieste, Italy in August 2019.