MSU Library recommends that datasets be published in trustworthy data repositories, especially those that are commonly used in your discipline. Our research suggests that publishing data in a disciplinary repository promotes discovery and reuse of research data.

 

Recommended general repositories

Zenodo

General purpose repository appropriate for any type of data

Hosted by CERN

No data curation services

Data publishing is free

Integrates with Github

The Data Management Planning Toolkit includes boilerplate language describing how Zenodo supports archiving & preservation of access and data access & sharing.

Visit Zenodo

 

Dryad

Only accepts data underlying publications

Non-profit organization

Provides lightweight data curation

Data publishing is free if your article is published in one of Dryad's partner journals. Otherwise, there is a data publishing charge.

Visit Dryad.

 

 

icpsr logo

Social science data repository

Especially recommended for sensitive data that requires restricted access

Hosted by the University of Michigan

ICPSR provides in-depth curation services

Some data publication is fee-based, depending on level of curation. Contact ICPSR for a cost estimate

Visit ICPSR

Also offers a free service that doesn't provide curation: OpenICPSR

 

Recommended disciplinary repositories

 

Guidelines for Citing Published Data

  • When using any published dataset, include a full citation in the reference list:

    • Smith K & Jones D (2016) Bison Observations in Yellowstone National Park [dataset]. Zenodo. http://doi.org/10.15788/XXXXX

  • For data that underlies a published article, we also recommend including a data availability statement in the article text, in addition to the full citation:

    • Data available from Zenodo, http://doi.org/10.15788/XXXXX

  • Contact us with questions.