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Join the 2020 ESIP Winter Meeting Highlights Webinar on Feb. 5th at 3 pm ET for a fast-paced overview of what took place at the meeting. More info here.

Tuesday, January 7 • 11:00am - 12:30pm
FAIR Metadata Recommendations

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We will discuss the FAIR metadata recommendations that were introduced at the ESIP Summer Meeting. How to Prepare for this Session: Use git repository: Issues

Links:
Glossary
Use git repository: 
Issues

View Recording:https://youtu.be/5hwZOLQ1p9M.

Takeaways
  • NCEAS is continuing to work on pinning down what are the fundamental characteristics for FAIR data. Have the suite of checks (e.g. is title present). 54 are currently implemented and they are working toward a community define 1.0 check suite. This is a good tool for data curators but has the potential to be misunderstood or misused - need a public FAIR metric. Public FAIR metric is high level and simple and includes only items that everyone agrees upon.
  • Future plans to create community specific custom FAIR suite checks to handle the variability of how metadata is hosted. Continually evaluating if checks are helping/hurting the data curators. Work is needed on the user interface - how do we ensure that metadata evaluation is a positive experience regardless of the score.
  • Reusability is typically low throughout the data repositories. Accessibility needs a greater focus as it’s hindered by broken/missing links. “When you decide what fields are mandatory (vs optional) you decide what metadata you get”


Speakers
avatar for Ted Habermann

Ted Habermann

Chief Game Changer, Metadata Game Changers
I am interested in all facets of metadata needed to discover, access, use, and understand data of any kind. Also evaluation and improvement of metadata collections, translation proofing. Ask me about the Metadata Game.
avatar for Matt Jones

Matt Jones

Director, DataONE Program, DataONE, UC Santa Barbara
DataONE | Arctic Data Center | Open Science | Provenance and Semantics | Scientific Synthesis


Tuesday January 7, 2020 11:00am - 12:30pm
Forest Glen

Attendees (37)