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The FAIR Principles cover all types of digital objects, metadata, and infrastructures. However, they focus their narrative on data features that support their reusability. FAIR defines principles, not standards, and therefore they do not propose a mechanism to achieve the behaviours they describe in an attempt to be technology\/implementation neutral. Various FAIR assessment metrics and tools have been designed to measure FAIRness. Unfortunately, the same digital objects assessed by different tools often exhibit widely different outcomes because of these independent interpretations of FAIR. This results in confusion among the publishers, the funders, and the users of digital research objects. Moreover, in the absence of a standard and transparent definition of what constitutes FAIR behaviours, there is a temptation to define existing approaches as being FAIR-compliant rather than having FAIR define the expected behaviours. This whitepaper identifies three high-level stakeholder categories -FAIR decision and policymakers, FAIR custodians, and FAIR practitioners - and provides examples outlining specific stakeholders' (hypothetical but anticipated) needs. It also examines possible models for governance based on the existing peer efforts, standardisation bodies, and other ways to acknowledge specifications and potential benefits. This whitepaper can serve as a starting point to foster an open discussion around FAIRness governance and the mechanism(s) that could be used to implement it, to be trusted, broadly representative, appropriately scoped, and sustainable. We invite engagement in this conversation in an open Google Group \n                    fair-assessment-governance@googlegroups.com.<\/jats:p>","DOI":"10.12688\/openreseurope.15364.2","type":"journal-article","created":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T10:35:16Z","timestamp":1693996516000},"update-policy":"https:\/\/doi.org\/10.68336\/openreseurope.updatepolicy","source":"Crossref","is-referenced-by-count":15,"title":["Community-driven governance of FAIRness assessment: an open issue, an open discussion"],"prefix":"10.68336","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6960-357X","authenticated-orcid":true,"given":"Mark D.","family":"Wilkinson","sequence":"first","affiliation":[{"name":"EOSC Task Force on FAIR Metrics and Data Quality, EOSC, Brussels, Belgium"},{"name":"Departamento de Biotecnolog\u00eda-Biolog\u00eda Vegetal, Escuela T\u00e9cnica Superior de Ingenier\u00eda Agron\u00f3mica, Alimentaria y de Biosistemas, Centro de Biotecnolog\u00eda y Gen\u00f3mica de Plantas. Universidad Polit\u00e9cnica de Madrid (UPM) - Instituto Nacional de Investigaci\u00f3n y Tecnolog\u00eda Agraria y Alimentaria-CSIC (INIA-CSIC), Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5306-5690","authenticated-orcid":true,"given":"Susanna-Assunta","family":"Sansone","sequence":"additional","affiliation":[{"name":"EOSC Task Force on FAIR Metrics and Data Quality, EOSC, Brussels, Belgium"},{"name":"Department of Engineering Science, Oxford e-Research Centre, The University of Oxford, Oxford, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5337-4722","authenticated-orcid":true,"given":"Eva","family":"M\u00e9ndez","sequence":"additional","affiliation":[{"name":"Library and Information Science Department, Universidad Carlos III de Madrid, Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4073-7456","authenticated-orcid":true,"given":"Romain","family":"David","sequence":"additional","affiliation":[{"name":"EOSC Task Force on FAIR Metrics and Data Quality, EOSC, Brussels, Belgium"},{"name":"European Research Infrastructure on Highly Pathogenic Agents (ERINHA AISBL), Brussels, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4472-7194","authenticated-orcid":true,"given":"Richard","family":"Dennis","sequence":"additional","affiliation":[{"name":"EOSC Task Force on FAIR Metrics and Data Quality, EOSC, Brussels, Belgium"},{"name":"Novo Nordisk Foundation Center for Stem Cell Medicine \u2013 reNEW, University of Copenhagen, Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3836-2800","authenticated-orcid":true,"given":"David","family":"Hecker","sequence":"additional","affiliation":[{"name":"EOSC Task Force on FAIR Metrics and Data Quality, EOSC, Brussels, Belgium"},{"name":"Research Data Management, German Aerospace Center (DLR), Cologne, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8855-5075","authenticated-orcid":true,"given":"Mari","family":"Kleemola","sequence":"additional","affiliation":[{"name":"EOSC Task Force on FAIR Metrics and Data Quality, EOSC, Brussels, Belgium"},{"name":"Finnish Social Science Data Archive and CESSDA ERIC, Tampere University, Tampere, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9434-9809","authenticated-orcid":true,"given":"Carlo","family":"Lacagnina","sequence":"additional","affiliation":[{"name":"EOSC Task Force on FAIR Metrics and Data Quality, EOSC, Brussels, Belgium"},{"name":"Barcelona Supercomputing Center, Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0532-3488","authenticated-orcid":true,"given":"Anastasija","family":"Nikiforova","sequence":"additional","affiliation":[{"name":"EOSC Task Force on FAIR Metrics and Data Quality, EOSC, Brussels, Belgium"},{"name":"Institute of Computer Science, The University of Tartu, Tartu, Estonia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3986-0510","authenticated-orcid":true,"given":"Leyla Jael","family":"Castro","sequence":"additional","affiliation":[{"name":"Semantic Technologies team, ZB MED Information Centre for Life Sciences, Cologne, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"13904","published-online":{"date-parts":[[2023,9,6]]},"reference":[{"key":"25286","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.18"},{"key":"25287","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.203295"},{"key":"25288","unstructured":"3. 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SAS acknowledges funds that supports her, including FAIRplus (IMI  802750), EOSC-Life (H2020 EU  824087), FAIRsharing (Wellcome 212930), Precision Toxicology (H2020 EU  965406), UKRI DASH grant (MR\/V038966\/1), BY-COVID (Horizon EU 101046203), AgroServ (Horizon EU 10105 8020), and the ELIXIR Interoperability Platform. EM acknowledges support from the FAIRsFAIR Fostering FAIR Data Practices in Europe (funding number 831558). RD David was supported by the EOSC-Life European program under grant agreement N\u00ba824087. LJC acknowledges support from the project NFDI4DataScience, part of the German National Research Data Infrastructure funded by the Joint Science Conference (GWK) and the German Research Foundation (DFG), funding number NFDI 34\/1.","name":"funding_statement","label":"Funding Statement","group":{"name":"funding_information","label":"Funding Information"}}],"article-number":"146"}}