<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>FAIR for AI: An interdisciplinary and international community building perspective</dc:title><dc:creator>Huerta, E. A.; Blaiszik, Ben; Brinson, L. Catherine; Bouchard, Kristofer E.; Diaz, Daniel; Doglioni, Caterina; Duarte, Javier M.; Emani, Murali; Foster, Ian; Fox, Geoffrey; Harris, Philip; Heinrich, Lukas; Jha, Shantenu; Katz, Daniel S.; Kindratenko, Volodymyr; Kirkpatrick, Christine R.; Lassila-Perini, Kati; Madduri, Ravi K.; Neubauer, Mark S.; Psomopoulos, Fotis E.; Roy, Avik; Rübel, Oliver; Zhao, Zhizhen; Zhu, Ruike</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher/><dc:date>2023-12-01</dc:date><dc:nsf_par_id>10436275</dc:nsf_par_id><dc:journal_name>Scientific Data</dc:journal_name><dc:journal_volume>10</dc:journal_volume><dc:journal_issue>1</dc:journal_issue><dc:page_range_or_elocation/><dc:issn>2052-4463</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1038/s41597-023-02298-6</dc:doi><dcq:identifierAwardId>2210266; 2204115; 2022040</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>