Supporting NIH-funded Researchers at your Institution to Share Data in the NIH Figshare Instance

As part of the National Institutes of Health (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 like the NIH Figshare instance can be an appropriate place to store their data.

If you are an academic or medical librarian supporting biomedical research, join us for this webinar to learn how you can support NIH-funded researchers at your institution in using the NIH Figshare instance to share their work. Librarians are an important part of the open science community and we welcome pairing the NIH Figshare instance with your institution’s existing support in data management and curation.

This webinar will introduce the platform and how NIH-funded researchers and their lab groups can use it to quickly and easily share any file type including data, code, and multimedia files and increase the impact of their work. We will also highlight resources available for both librarians and researchers including guides, flyers, and training materials.

Data submitted to the NIH Figshare instance is reviewed by an expert on the Figshare team for file verification and description completeness. One goal of this review is to maximize the discoverability and reusability of the item by ensuring that the data and metadata are aligned with the FAIR principles (https://www.go-fair.org/fair-principles/) - findable, accessible, interoperable, and reusable. All deposits are also given a citable NIH Digital Object Identifier (DOI), associated with a license, indexed in Google and other search engines, and provided with metrics on views, downloads, citations, and Altmetrics.