{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T04:21:31Z","timestamp":1778127691631,"version":"3.51.4"},"reference-count":2,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T00:00:00Z","timestamp":1643068800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Data Science"],"published-print":{"date-parts":[[2022,3,22]]},"abstract":"<jats:p>Wilkinson et al. claimed in previous work that Adherence of a dataset to the FAIR Guiding Principles enables its automated discovery. We present here a formalization of that claim, stating that all things of class \u201cadherence to the FAIR Guiding principles\u201d that are in the context of a thing of class \u201cdata set\u201d can generally have a relation of type \u201cenables\u201d to a thing of class \u201cautomated discovery\u201d in the same context.<\/jats:p>","DOI":"10.3233\/ds-210047","type":"journal-article","created":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T13:42:13Z","timestamp":1643118133000},"page":"53-56","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["A formalization of one of the main claims of \u201cThe FAIR Guiding Principles for scientific data management and stewardship\u201d by Wilkinson et al. 2016"],"prefix":"10.1177","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4727-9435","authenticated-orcid":false,"given":"Michel","family":"Dumontier","sequence":"first","affiliation":[{"name":"Maastricht University, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,1,25]]},"reference":[{"key":"ref001","doi-asserted-by":"publisher","DOI":"10.1145\/3460210.3493561"},{"key":"ref002","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.18"}],"container-title":["Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/DS-210047","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/DS-210047","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/DS-210047","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T18:10:08Z","timestamp":1777399808000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/DS-210047"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,25]]},"references-count":2,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,3,22]]}},"alternative-id":["10.3233\/DS-210047"],"URL":"https:\/\/doi.org\/10.3233\/ds-210047","relation":{},"ISSN":["2451-8484","2451-8492"],"issn-type":[{"value":"2451-8484","type":"print"},{"value":"2451-8492","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,25]]}}}