[Rdap] What does the NIH Figshare instance mean for researchers?

Federer, Lisa (NIH/NLM) [E] lisa.federer at nih.gov
Thu Nov 14 13:40:54 EST 2019


It is my understanding that they will also be offering a webinar intended for librarians at some point in the next few months as well.

_­­­­­­_______________­­­­­­__________________
Lisa Federer, PhD, MLIS
Data Science and Open Science Librarian
Office of Strategic Initiatives
National Library of Medicine
National Institutes of Health

lisa.federer at nih.gov<mailto:lisa.federer at nih.gov>
301-827-4399

From: O'Donnell, Megan N [LIB] <mno at iastate.edu>
Sent: Thursday, November 14, 2019 1:16 PM
To: Research Data Access and Preservation <rdap at kunverj.com>
Subject: [Rdap] FW: What does the NIH Figshare instance mean for researchers?

Likely of interest, for a variety of reasons, to folks on this list.

Megan O’Donnell
Data Services Librarian
Entomology, NREM, Plant Pathology, and Environment Librarian
Iowa State University Library
mno at iastate.edu<mailto:mno at iastate.edu>   (515) 294-1670


From: Team Figshare <info at figshare.com<mailto:info at figshare.com>>
Sent: Thursday, November 14, 2019 9:00 AM
To: O'Donnell, Megan N [LIB] <mno at iastate.edu<mailto:mno at iastate.edu>>
Subject: What does the NIH Figshare instance mean for researchers?

[https://gallery.mailchimp.com/b2e79d17291e6cd4adac61495/images/a902d0b9-f4e1-4833-9281-d05383c66966.png]
Webinar
What does the NIH Figshare instance mean for researchers?
November 20th, 11am ET


As part of the NIH ​Strategic Plan for Data Science (https://datascience.nih.gov/strategicplan)​, the NIH is committed to making datasets resulting from NIH investigator publications more accessible. Researchers sometimes find themselves with a requirement to share data, but cannot identify a specific repository to use. When researchers don’t have a subject-specific repository relevant to their work, a generalist repository can be an appropriate place to store their data. The NIH Figshare instance is one example of a generalist repository.
Data submitted to the NIH Figshare instance will be reviewed for completeness and to ensure there is no personally identifiable information in the data and metadata prior to being published and made discoverable. Review will also ensure the data and metadata are findable, accessible, interoperable, and reusable – or aligned with the FAIR principles (https://www.go-fair.org/fair-principles/).
If you are an NIH-funded researcher, or in a lab that has NIH funding, come along to hear how this service can help you get more credit for your research.

Sign Up Now<https://figshare.us4.list-manage.com/track/click?u=b2e79d17291e6cd4adac61495&id=7e3bd2536c&e=3968afcf83>

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For more information on the NIH Figshare instance, visit the About page here<https://figshare.us4.list-manage.com/track/click?u=b2e79d17291e6cd4adac61495&id=72518d542b&e=3968afcf83>.

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Team Figshare
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