{"id":6877,"date":"2020-03-31T19:57:47","date_gmt":"2020-03-31T17:57:47","guid":{"rendered":"https:\/\/www.go-fair.org\/?post_type=pronamic_event&#038;p=6877"},"modified":"2020-04-15T15:45:04","modified_gmt":"2020-04-15T13:45:04","slug":"go-fair-us-webinar-series-fair-data-and-covid-19-fighting-covid-19-by-mining-insights-from-heterogeneous-datasets","status":"passed","type":"pronamic_event","link":"https:\/\/www.go-fair.org\/events\/go-fair-us-webinar-series-fair-data-and-covid-19-fighting-covid-19-by-mining-insights-from-heterogeneous-datasets\/","title":{"rendered":"GO FAIR US Webinar Series: FAIR Data and COVID-19: Fighting COVID-19 by Mining Insights from Heterogeneous Datasets"},"content":{"rendered":"<p>Advancing a FAIR data ecosystem will expand opportunities for data-driven and data-enabled research on complex problems. Join us for this four-part series on production and use of\u00a0 data that is Findable, Accessible, Interoperable, and Reusable (FAIR). Webinars will be recorded.\u00a0 Watch in real time for live Q&amp;A.<\/p>\n<ul>\n<li>22 April, 18:00 &#8211; 19:00 CEST, Peter Rose &amp; Ilya Zaslavsky, both from San Diego Supercomputer Center, UC San Diego; Iris Shen, Principal Data Scientist., Microsoft Academic Team, Microsoft; Natalie Meyers, E-Research Librarian, Navari Center for Digital Scholarship, Hesburgh Library &amp; Eric Morgan, Hesburgh Library, Notre Dame<\/li>\n<\/ul>\n<p><strong>\u201cFighting COVID-19 by Mining Insights from Heterogeneous Datasets\u201d<\/strong><\/p>\n<p>Data and domain experts will walk you through how they are using various data and information science techniques to mine insight from available and emerging datasets related to COVID-19. Peter Rose&amp; Ilya Zaslavsky will demonstrate their open knowledge graph: COVID-19-Net, linking heterogeneous COVID-19 data sources. Iris Shen will discuss Microsoft Academic resources and their application to COVID-19 research. Natalie Meyers will give insights into her use of the US CORD-19 dataset and how simple surveys can yield quick insight into national response trends.<\/p>\n<p><strong>Register for the webinar:<\/strong> <a href=\"https:\/\/www.sdsc.edu\/services\/data_science\/research_data_services.html\">https:\/\/www.sdsc.edu\/services\/data_science\/research_data_services.html<\/a>. Webinar recordings and slides will be available under this link as well.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Advancing a FAIR data ecosystem will expand opportunities for data-driven and data-enabled research on complex problems. Join us for this four-part series on production and use of\u00a0 data that is Findable, Accessible, Interoperable, and Reusable (FAIR). Webinars will be recorded.\u00a0\u2026 <a href=\"https:\/\/www.go-fair.org\/events\/go-fair-us-webinar-series-fair-data-and-covid-19-fighting-covid-19-by-mining-insights-from-heterogeneous-datasets\/\">Continue reading <span class=\"meta-nav\">\u2192<\/span><\/a><\/p>\n","protected":false},"author":16,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"country":[],"organizer":[159],"group":[],"class_list":["post-6877","pronamic_event","type-pronamic_event","status-passed","hentry","pronamic_event_category-general","pronamic_event_status-archive","organizer-go-fair-national-offices","event-ended"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GO FAIR US Webinar Series: FAIR Data and COVID-19: Fighting COVID-19 by Mining Insights from Heterogeneous Datasets - GO FAIR<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.go-fair.org\/events\/go-fair-us-webinar-series-fair-data-and-covid-19-fighting-covid-19-by-mining-insights-from-heterogeneous-datasets\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GO FAIR US Webinar Series: FAIR Data and COVID-19: Fighting COVID-19 by Mining Insights from Heterogeneous Datasets - GO FAIR\" \/>\n<meta property=\"og:description\" content=\"Advancing a FAIR data ecosystem will expand opportunities for data-driven and data-enabled research on complex problems. 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