Work

Best Practices for Data Submission in Generalist Repositories: A Checklist

Year: 2025

Type: article

Abstract: This Checklist has been prepared by the seven generalist repositories (Dataverse, Dryad, Figshare, Open Science Framework (OSF), Mendeley Data, Vivli, and Zenodo) participating in the National Institutes of Health Generalist Repository Ecosystem Initiative (NIH GREI) for improved data submissions to generalist repositories. A data submission refers to data and any supplemental files in a repository or on a platform that provides stable identifiers for reuse, according to designated licensing permissions. This resource is not intended to be an all-inclusive checklist of best practices for all aspects of data submissions (e.g., management and sharing) from a project’s outset, such as instantiating variable names or data dictionaries in an experimental study. In that respect, this checklist should be used in combination with other resources specific to your subject area and type of research. The guidance here may also be generally applicable to data submissions in discipline-specific repositories. We have provided the checklist as both an interactive PDF and as an OpenDocument (.odt) text file to facilitate reuse. We invite users to give feedback on this resource via the GREI GitHub discussion board.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14278906

Authors: Curtin, Lisa, Herzog, Jessica, Richardson, Joshua, Prabhakaran Nair Sheelakumari, Lekshmi, Steltenpohl, Crystal N.

Institutions: Figshare (United Kingdom), Northwestern University, Northwestern Medicine, RELX Group (United Kingdom), Center for Open Science

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Institutes of Health