“Data is a precious thing.”
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
General purpose repository appropriate for any type of data
Hosted by CERN
No data curation services
Data publishing is free
Integrates with Github
Only accepts data underlying publications
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.
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
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.