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Bioinformatics Training and Education Program

The NIH Generalist Repository Ecosystem Initiative (GREI): Supporting Data Sharing in Generalist Repositories

The NIH Generalist Repository Ecosystem Initiative (GREI): Supporting Data Sharing in Generalist Repositories

 When: Aug. 7th, 2024 2:00 pm - 3:00 pm

Learning Level: Any

To Know

Where:
Online Webinar
Organizer:
NIH Library
Presented By:
Julie Goldman (Harvard Library on behalf of Harvard Dataverse), Gretchen Gueguen ( Center for Open Science), Pearl Go (Northwestern University on behalf of Zenodo)
This class has ended.

About this Class

 Generalist repositories are a flexible, trusted resource for sharing research data for which there is no appropriate discipline specific repository as well as many other research outputs valuable for reproducibility and open science. This webinar is presented by participants of the Generalist Repository Ecosystem Initiative (GREI) (Dataverse, Dryad, Figshare, Mendeley Data, Open Science Framework, Vivli, and Zenodo), an NIH program supporting the enhancement of generalist repository functionality to better support NIH data sharing use cases. The GREI repositories will share generalist repository use cases and best practices for sharing and finding data and describe how generalist repositories fit into the wider data repository landscape and how they can be part of meeting the new NIH Data Management and Sharing Policy requirements. It will present both the key common features of the GREI generalist repositories that meet the NIH desirable repository characteristics as well as the unique features of these repositories that make them suited to specific types of data.

By registering for this class, you are agreeing to the NNLM Code of Conduct.

Objectives:

  • Define generalist repositories and how they fit into the broader data repository landscape.
  • Explain the purpose and goals of the NIH Generalist Repository Ecosystem Initiative (GREI).
  • Describe common use cases for generalist repositories in data sharing.
  • Understand best practices for sharing and finding data in generalist repositories.
  • Discuss how generalist repositories can help meet NIH Data Management and Sharing Policy requirements.