GREI Collaborative Webinar: Metadata Recommendations

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 18 Sep 2023 English Publisher:ZenodoFunded by:NIH | THE GENERALIST REPOSITORY..., NIH | The Harvard Dataverse rep..., NIH | Dryad and the Generalist ... +4 projects

Authors: Scherer, David; Gautier, Julian; Gueguen, Gretchen; Scherle, Ryan; Van Gulick, Ana;

doi: 10.5281/zenodo.8356815 , 10.5281/zenodo.8356814

GREI Collaborative Webinar: Metadata Recommendations

- Summary
- Subjects
- Metrics

Abstract

Metadata Recommendations | Friday, September 15 at 2 pm ET Researchers and academic staff who support them, representatives from data repositories, and NIH staff interested in how metadata can make NIH-funded research more findable are invited to watch the GREI Metadata and Search subcommittee’s Collaborative Webinar: Metadata Recommendations. During this webinar, attendees learned about the metadata recommendations from the GREI metadata and search subcommittee, including how the recommendations came about, what we hope to achieve, and next steps. Speakers: David Scherer (Mendeley), Julian Gautier (Dataverse), Gretchen Gueguen (OSF), Ryan Scherle (Dryad), Ana Van Gulick (Figshare) Webinar Recording

Keywords

Webinar, Metadata, Open Data, NIH Data, Generalist repository, Data repository, GREI

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	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average