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FORCE2018 at McGill University on October 11-12, 2018 – with pre-conference workshops on Oct 10 hosted at Concordia University
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Thursday, October 11 • 2:00pm - 2:30pm
Gettin' Real at the FAIRground: Applying FAIR Principles to the eagle-i Research Resource Discovery Tool

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Everyone knows about FAIR. But has anyone done FAIR? What does it mean to evaluate a distributed discovery tool containing research resources via the FAIR principles? Released in 2010, eagle-i (www.eagle-i.net) is an open, accessible discovery network of people, core facilities and research materials composed of an RDF framework, downloadable ontology/platform, public SPARQL interface, and an API. I will report on my attempts to:
1. Evaluate the ontology on how well it supports Findability within the disciplinary standards of bioinformatics and translational research;
2. Evaluate the eagle-i communications protocols and infrastructure for Accessibility;
3. Determine if the eagle-i ontology allows enough Interoperability for researchers to incorporate eagle-I resources into their scholcomm efforts
4. Develop metrics for our metadata to determine if it contains sufficient attributes and provenance to allow for Reuse.

Will I escape the funhouse and avoid being ambushed by a clown posse? The FAIRness of eagle-I will be revealed!

avatar for Juliane Schneider

Juliane Schneider

Lead Data Curator, Harvard Catalyst | Clinical and Translational Science Center
Generally harmless.