Following the postponement of International Data Week to June 2022 (hybrid and onsite in Seoul, Republic of Korea), it was decided to retain some of the most significant and time sensitive session proposals and to run them in a Virtual SciDataCon.
The workshop will focus on presenting and gathering feedback on the draft “FAIR Competence Adoption Handbook for Universities” (working title). The handbook will be a practical tool for universities to implement FAIR research data management content and skills training in Bachelor, Master and Doctoral education programmes and will be published in December 2021. During the event, participants will reflect on the value and relevance of the handbook through the lens of practical examples of successful integration of FAIR-related content in higher education programmes.
Reliable FAIR data infrastructure relies on a stack of infrastructure components. This is very comparable with transport infrastructure: if I buy a car, I rely on the road. And in turn, the road construction companies rely on the availability of asphalt, as well as on machine manufacturers for their equipment. Which in turn rely on mining infrastructure.
Jointly organised by FAIRsFAIR, with OntoCommons and FairSharing, the Workshop "Applying FAIR principles to open science and industry to drive innovation: challenges and opportunities" takes place on 22 September at 16:30 CEST, during the Open Science FAIR 2021.
The workshop is a meeting point with the Open Science community, and the opportunity for the participants to gather inputs and suggestions for implementing FAIR and Open Science/Data.
OS Fair 2021 aims to bring together and empower open science communities and services; to identify common practices related to open science; to see what are the best synergies to deliver and operate services that work for many; and to bring experiences from all around the world and learn from each other
The workshop will address the needs and challenges encountered by teachers and trainers of research data management (RDM) and FAIR principles in higher education institutions, providing a platform for discussion and mutual learning. Participants will also have the opportunity to share their views and experiences and learn more from champion universities in Europe presenting their good practices in RDM and FAIR data training.
During the course of the FAIRsFAIR project we have been working on defining a common metadata description for Semantic Artefacts (SA) to make them FAIR. This work was initiated with a few members of the RDA VSSIG TG on metadata led by C. Jonquet and we have converged on a DCAT extension for representing SA and a short list of metadata fields to describe SAs. Our goal is to propose a common minimum metadata description for FAIR SAs, setting up a threshold on FAIRness without restricting the usage of more metadata elements for a richer metadata description as required by the FAIR Principles.
What does implementing the FAIR data principles in universities mean in reality? How can it be rolled out on the ground among researchers and students? What are the expectations of doing this in a diverse multi-disciplinary environment? To start to solve these challenges, we are holding a Book Sprint in June to develop a handbook for practical implementation of FAIR in curricula and need the help of experts in a series of collaborative Book Sprints in June 2021.
FAIRsFAIR, EUA and the University of Minho with the support of the EUA Council for Doctoral Education are organising a workshop on “FAIR data competences in doctoral education programmes”. The event will present the FAIR Competence Framework for Higher Education currently under development by the FAIRsFAIR project and discuss practical examples of research data management (RDM) training in doctoral education programmes across Europe.