[LTER-im] EDI Webinar: How FAIR are our data? Tue 2/15/2022
SUSANNE GROSSMAN CLARKE
grossmanclar at wisc.edu
Fri Feb 11 10:40:06 PST 2022
[EDI logo]<https://environmentaldatainitiative.org/>ENVIRONMENTAL DATA INITIATIVE
https://environmentaldatainitiative.org
Follow EDI on Twitter: @EDIdatapackages<https://twitter.com/EDIdatapackages> and @EDIgotData<https://twitter.com/edigotdata>
EDI Office Hours:<https://environmentaldatainitiative.org/edi-office-hours/> Wednesdays, 3-4 p.m. ET
________________________________
Join our Webinar !
Tuesday, 15 Feb. 2022 at 2 p.m. ET (11 a.m. PT)
How FAIR Are Our Data?
Speakers
* Shelley Stall ( Senior Director AGU’s Data Leadership Program )
* Mary Martin (Information Management Hubbard Brook Ecosystem Study, UNH)
* Corinna Gries (Director EDI, UW-Madison)
Find registration and connection information here<https://uwmadison.zoom.us/meeting/register/tJEocuupqDgrEtWSsR_sMsPfxYIX08tosAyJ>.
FAIR - Findable, Accessible, Interoperable, Reusable (https://bit.ly/3o3vbw6), is a high level framework for communicating quality of metadata in terms of making data usable for somebody who was not directly involved in the sampling. More recently the Research Data Alliance (RDA) has developed guidelines for evaluating FAIR, the FAIR data maturity model (https://bit.ly/3KWO4ee). This framework is still fairly general and research communities need to expand it with more specific community level criteria. DataONE has taken the initiative to develop such criteria for data in the DataONE community (https://bit.ly/3u3bysa).
Shelley Stall will talk about the RDA FAIR document, Mary Martin about how she is using the FAIR analysis in her own data management for the Hubbard Brook Ecosystem Study and Corinna Gries will discuss specific groups of RDA+DataONE FAIR criteria and how they may be applied in EDI or for a particular project or single dataset.
We are looking forward to seeing you at our webinar!
The EDI-Team
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