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DTSTAMP:20260710T175727Z
UID:0b91d7d2-d336-4e3c-85bd-0245e7d2c273
DTSTART:20191017T160000Z
DTEND:20191017T160000Z
DESCRIPTION:The FAIR (Findable\, Accessible\, Interoperable and Reusable) p
 rinciples aim to maximize the discovery and reuse of digital resources. U
 sing recently developed​ software and metrics to assess FAIRness\, an 
 ELIXIR Implementation Study looked at a subset of ELIXIR Core Data Resourc
 es to apply these technologies. \n\nIn this webinar\, the lead of the Impl
 ementation Study Michel Dumontier (ELIXIR Netherlands) will discuss their 
 approach\, findings\, and lessons learned towards the understanding and pr
 omotion of the FAIR principles.\n\nThis webinar is presented jointly by th
 e  Pistoia Alliance and ELIXIR.\n\nDr. Michel Dumontier is the Distinguish
 ed Professor of Data Science at Maastricht University and co-founder of th
 e FAIR (Findable\, Accessible\, Interoperable and Reusable) data principle
 s. His research focuses on the development of computational methods for sc
 alable and responsible discovery science. Previously at Stanford Universit
 y\, Dr. Dumontier now leads the interfaculty Institute of Data Science at 
 Maastricht University to develop sociotechnological systems for accelerati
 ng scientific discovery\, improving human health and well-being\, and empo
 wering communities with ethical data-driven decision making. He is a princ
 ipal investigator in the Dutch National Research Agenda\, the European Ope
 n Science Cloud\, the NCATS Biomedical Data Translator\, and the NIH Data 
 Commons Pilots. He is internationally recognized for his contributions in 
 bioinformatics\, biomedical informatics\, and semantic technologies includ
 ing ontologies and linked data.
SUMMARY:Application of recently developed FAIR metrics to the ELIXIR Core D
 ata Resources
URL;VALUE=URI:https://www.elixir-europe.org/events/webinar-fairness-CDR
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