{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T01:38:55Z","timestamp":1768441135478,"version":"3.49.0"},"reference-count":11,"publisher":"China Science Publishing & Media Ltd.","issue":"1-2","content-domain":{"domain":["www.mitpressjournals.org"],"crossmark-restriction":true},"short-container-title":["Data Intellegence"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:p> The FAIR principles articulate the behaviors expected from digital artifacts that are Findable, Accessible, Interoperable and Reusable by machines and by people. Although by now widely accepted, the FAIR Principles by design do not explicitly consider actual implementation choices enabling FAIR behaviors. As different communities have their own, often well-established implementation preferences and priorities for data reuse, coordinating a broadly accepted, widely used FAIR implementation approach remains a global challenge. In an effort to accelerate broad community convergence on FAIR implementation options, the GO FAIR community has launched the development of the FAIR Convergence Matrix. The Matrix is a platform that compiles for any community of practice, an inventory of their self-declared FAIR implementation choices and challenges. The Convergence Matrix is itself a FAIR resource, openly available, and encourages voluntary participation by any self-identified community of practice (not only the GO FAIR Implementation Networks). Based on patterns of use and reuse of existing resources, the Convergence Matrix supports the transparent derivation of strategies that optimally coordinate convergence on standards and technologies in the emerging Internet of FAIR Data and Services. <\/jats:p>","DOI":"10.1162\/dint_a_00038","type":"journal-article","created":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T20:43:34Z","timestamp":1572641014000},"page":"158-170","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":11,"title":["FAIR Convergence Matrix: Optimizing the Reuse of Existing                     FAIR-Related Resources"],"prefix":"10.3724","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4462-6465","authenticated-orcid":true,"given":"Hana Pergl","family":"Sustkova","sequence":"first","affiliation":[{"name":"GO FAIR International Support and Coordination Office, Leiden, The                         Netherlands"}]},{"given":"Kristina Maria","family":"Hettne","sequence":"additional","affiliation":[{"name":"Centre for Digital Scholarship, Leiden University Libraries, Leiden, The                         Netherlands"}]},{"given":"Peter","family":"Wittenburg","sequence":"additional","affiliation":[{"name":"Max Planck Computing and Data Facility, Gie\u00dfenbachstra\u00dfe 2,                         85748 Garching, Germany"}]},{"given":"Annika","family":"Jacobsen","sequence":"additional","affiliation":[{"name":"Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands"}]},{"given":"Tobias","family":"Kuhn","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan                         11051081 HV Amsterdam, The Netherlands"}]},{"given":"Robert","family":"Pergl","sequence":"additional","affiliation":[{"name":"Czech Technical University in Prague, Faculty of Information Technology                         (FIT CTU), 160 00 Prague 6, Czech Republic"}]},{"given":"Jan","family":"Slifka","sequence":"additional","affiliation":[{"name":"Czech Technical University in Prague, Faculty of Information Technology                         (FIT CTU), 160 00 Prague 6, Czech Republic"}]},{"given":"Peter","family":"McQuilton","sequence":"additional","affiliation":[{"name":"Oxford e-Research Centre, Department of Engineering Sciences, University of                         Oxford, Oxford OX13PJ, UK"}]},{"given":"Barbara","family":"Magagna","sequence":"additional","affiliation":[{"name":"Environment Agency Austria, A-1090 Vienna, Austria"}]},{"given":"Susanna-Assunta","family":"Sansone","sequence":"additional","affiliation":[{"name":"Oxford e-Research Centre, Department of Engineering Sciences, University of                         Oxford, Oxford OX13PJ, UK"}]},{"given":"Markus","family":"Stocker","sequence":"additional","affiliation":[{"name":"TIB Leibniz Information Centre for Science and Technology, Hannover,                         Germany"}]},{"given":"Melanie","family":"Imming","sequence":"additional","affiliation":[{"name":"SURF, Utrecht 3511 EP, The Netherlands"}]},{"given":"Larry","family":"Lannom","sequence":"additional","affiliation":[{"name":"Corporation for National Research Initiatives (CNRI), Reston, Virginia                         20191, USA"}]},{"given":"Mark","family":"Musen","sequence":"additional","affiliation":[{"name":"Stanford Center for Biomedical Informatics Research, Stanford, CA 94305,                         USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8888-635X","authenticated-orcid":true,"given":"Erik","family":"Schultes","sequence":"additional","affiliation":[{"name":"GO FAIR International Support and Coordination Office, Leiden, The                         Netherlands"}]}],"member":"2026","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.18"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00045"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41587-019-0080-8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00037"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00035"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00043"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3233\/978-1-61499-955-3-223"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/ng0411-281"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38288-8_33"},{"key":"ref26","unstructured":"T. Kuhn,                                 A. Mero\u00f1o-Pe\u00f1uela,                                 A. Malic,                                 J.H. Poelen,                                 A.H. Hurlbert,                                 E.C. Ortiz \u2026 &                                 M. Dumontier.                         (2018). Nanopublications: A growing resource of                     provenance-centric scientific linked data. In: 2018 IEEE 14th International                     Conference on e-Science (e-Science). 10.1109\/eScience.2018.00024."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68288-4_26"}],"container-title":["Data Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/dint_a_00038","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T07:41:27Z","timestamp":1741938087000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciengine.com\/doi\/10.1162\/dint_a_00038"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":11,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2020,1]]}},"alternative-id":["10.1162\/dint_a_00038"],"URL":"https:\/\/doi.org\/10.1162\/dint_a_00038","relation":{},"ISSN":["2641-435X"],"issn-type":[{"value":"2641-435X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1]]},"assertion":[{"value":"2020-01-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}