Context
More harmonised use of semantic artefacts such as ontologies, terminologies, taxonomies, thesauri, vocabularies, metadata schemas and standards is a key element to achieving a high level of FAIRness. However, it can often be difficult to find and use semantic artefacts as they themselves are not always FAIR.
Building on the successful “FAIRness hackathon approach” that was used by the French agri-food project FooSIN as well as on the FAIRsFAIR iterative FAIR pilot assessment and consultation experience, this targeted support action will help a cohort of dataset providers or semantic artefact developers to self-assess the level of FAIRness of their resources ( datasets, semantic artefacts, or any collections of those) with several FAIRness assessment tools and methods put at their disposal by FAIR-IMPACT. The cohort will participate in a joint challenge that will last one month during which they will apply a variety of assessment tools including F-UJI, O’FAIRe and FOOPS, and methods such as the FAIR Data Maturity Model (FDMM) and the Ten simple rules for FAIR vocabularies to self-assess their resource(s). The objective for all participants will be to maximise the FAIRness of their own resources as expressed by the scores obtained using the various tools used during the span of the challenge.
During the event, FAIR-IMPACT mentors will provide guidance and tips on how to improve their score by providing support either directly on the tools methodology available or with general FAIR-enabling feedback and advice. Based on their FAIRness score at the beginning of the challenge, participants will develop a plan to implement changes to improve those scores and their effort will be measured with the new score obtained at the end of the challenge period.
Successful applicants to the FAIRness Assessment Challenge:
- Emna Amdouni, IRT SystemX- France
- Matteo Bregonzio, Datrix SPA
- Arianna Caporali, French Institute for Demographic Studies (INED) and Generations and Gender Programme (GGP)
- Agneta Ghose, Department of Planning, Danish Centre for Environmental Assessment (DCEA), Aalborg University
- Lars Kaczmirek, University of Vienna, Vienna University Library and Archive Services, AUSSDA - The Austrian Social Science Data Archive
- Naouel Karam, Institute for Applied Informatics (InfAI), Leipzig University
- Alexandra Kokkinaki, The British Oceanographic Data Centre, National Oceanography Centre
- Amela Kurta, DASS-BiH, Center for Development Evaluation and Social Science Research (CREDI)
- Didi Lamers, Radboud Data Repository at Radboud University
- Siv K Lauvset, NORCE Norwegian Research Centre
- Bora Lushaj, Erasmus University Rotterdam
- Barbara Magagna, mabablue GmbH
- Jakub Rusakow, Medical University of Gdansk Main Library
- Matthias Schwarz, GeoSphere Austria
- Kerstin Soltau, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
- Magdalena Szuflita-Żurawska, Open Science Competence Center, Gdańsk University of Technology Library
- Andrea Vianello, Eurac Research
- Dagmar Waltemath, Medical Informatics Laboratory, University Medicine Greifswald
Support offer details |
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Who should apply? |
Data repository service providers (any level) and curators and/or developers of semantic artefacts and datasets. |
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Skills needed to participate |
No specific technical need required. Tuition on assessment tools and methods will be provided during the support. However, a good knowledge of the FAIR principles is recommended and willingness to embrace that approach. |
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Virtual workshops |
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Support providers and mentors |
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How much time will this support action require from participants? |
Successful applicants will need to allocate 5 days to undertake this support action. The five days will be spent on participation in the introductory session, the three half-day virtual workshops and the exit interview. In addition to participation in the virtual workshops, successful applicants will undertake self-directed work to develop a short draft implementation plan to address one or more areas where a need for improvement was highlighted. Applicants will benefit from advice and support from the FAIR-IMPACT mentors on how to use the FAIR assessment tools, how to interpret their scores and receive suggestions on how to improve their scores with an overall aim of making their semantic artefacts or datasets more FAIR. |
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What FAIR-IMPACT will provide to enable participation? |
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What do we expect from participants? |
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| How many applicants will be supported? | A maximum of 15 individuals or small teams will be supported to participate in this support action. |
Supporting materials
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Timeline for first open call |
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Call launch |
31 March 2023 |
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Deadline for applications |
1 June 2023 |
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Selection of applicants |
End of June 2023 |
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Applicants informed of decision |
Beginning of July 2023 |
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Expected start date for support actions |
The start date will vary depending on the specific support action. However we anticipate that these will begin in autumn 2023. |
Who can apply?
This call is open to individuals, groups or organisations from public and private research-performing organisations, including:
- Research-performing organisations and research infrastructures;
- Repositories, data and metadata service providers;
- Representatives of national and international level initiatives.
Applicants must reside and/or work in an EU or Associated Country for the duration of the grant. A key aim for FAIR-IMPACT is to prioritise support for organisations, groups, and/or individuals based in countries or representing domains that are currently less advanced in terms of their FAIR enabling capacity2.
The call is not open to individuals or groups based at any of the FAIR-IMPACT project partner organisations nor to individuals who hold the status of FAIR Champions under FAIR-IMPACT.