NIH Figshare Researcher Webinar

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/).

The NIH Figshare instance provides NIH-funded researchers the following:

● The ability to self-publish any data type in any file format

● All data assigned a branded, citable Digital Object Identifier (DOI)

● All data associated with a license

● Ability to link grant information to published data

● Ability to embargo data

● Open access to all published data

● Data being indexed in Google and discoverable across search engines

● Usage metrics – including views, downloads, citations, and Altmetrics – tracked openly

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.

There will also be another webinar on the 15th of January for librarians; sign up at https://register.gotowebinar.com/register/6346293557423399693.