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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Best Practices for Data Submission in Generalist Repositories: A Checklist

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

Best Practices for Data Submission in Generalist Repositories: A Checklist

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.

Keywords

Data Management and Sharing, Generalist Repository Ecosystem Initiative (GREI)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green