During the initial stages of the project landscaping activities have been a core activity. As part of these cross-package landscaping activities a series of surveys were fielded. The programmes for the pilot Data Steward strand and the support for FAIR-enabling repositories got underway. The FAIRsFAIR Synchronisation Force (SF) held the first two of three planned workshops.
In the later phases of the project there has been a focus on sustainability activities. Planning for the long-term sustainability of project outputs was central to the whole project. The approach consisted of developing various measures and activities during the lifetime of the project as well as preparing the ground for the period after the end of the project.
The third SF workshop which was restructured as a series of eight online sessions running in 2021. The workshops were used to measure the progress towards implementing the recommendations outlined in the Turning FAIR into Reality report.
There have been third iterations of both the work on Persistence and Interoperability, as well as the recommendations on FAIR Semantics. A hackathon was organized for repositories to test and further develop implementation of the FAIRdata Point to support semantic interoperability and testing it against the F-UJI tool. The Framework for FAIR assessment of services was published and presented.
To support the implementation of recommendations for policy makers, research communities and repositories, a programme of targeted support was delivered, and a suite of resources was developed.
The CoreTrustSeal+FAIRenabling Capability and Maturity model, the Repository Finder, as well as the latest versions of the FAIRsFAIR metrics and the subsequent FAIR data assessment tools FAIR-Aware and F-UJI were released. FAIR-Aware and F-UJI were heavily tested, presented, and promoted to successfully foster uptake in the research community. The Repository Support Programme was successfully carried out and wrapped-up. 2021 saw the continued development of the FAIRdata forum, and the competence centre activities in WP6 including the development of the training library of resources, a new self paced online data stewards training course (in collaboration with EOSC Synergy), and a proof of concept materials browser providing a practical demonstration of Terms4FAIRSkills terminology. The CODATA-RDA Data Science School was moved to a 10 week virtual school and the team delivered a fully revised data stewardship instructor train-the-trainer programme.
Three practical tools to support universities in integrating FAIR data-related skills and competences in their programmes at the bachelor, master and doctoral levels, were finalized: the FAIR Competence Framework for Higher Education, the FAIR Adoption Handbook for Universities and the Good Practices in FAIR Competence Education.
All of the activities mentioned above were aimed to create practical solutions for the use of the FAIR data principles throughout the research data life cycle. We produced guidance, tools and training for a large range of stakeholders. In total FAIRsFAIR has completed 54 deliverables, and achieved 59 project milestones. We published our deliverables, scientific publications, and relevant outputs to ZENODO. A dedicated community (holding 233 outputs) was created for this:
https://zenodo.org/communities/fairsfair(si apre in una nuova finestra).
The main outputs of the project are:
In the category FAIR guidance: FAIR implementation stories and guidance, FAIR adoption handbook for higher education institutions, FAIR data policy checklist and structured policy description template, Framework for assessing FAIR-enabling services, Recommendations for FAIRness of research software, FAIR competence framework and Recommendations on FAIR semantics.
In the category FAIR tools: Capability model for FAIR-enabling organizations (ACME-FAIR), FAIR-Aware, F-UJI, FAIR-enabling repository finder, FAIR-enabling repository finder, FAIRdata forum, CoreTrustSeal + FAIR certification, European network of FAIR-enabling trusted digital repositories.
In the category FAIR training: Training materials, Good practices in FAIR education, Data steward Schools.
