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Find a data repository

Repositories can help you:

  • manage your data
  • cite your data by supplying a persistent identifier
  • facilitate discovery of your data
  • preserve your data over time

Selecting your repository

In choosing a repository for your data, first consider:

While there are many options to choose from, we’ve highlighted a small set of recommended or supported repositories below to help researchers quickly review key features in making their decisions. Please refer to each repository’s documentation for the most current information. To access MIT-associated benefits:

If you would like to discuss what might work for you and your data, or if you see an error in the information below, contact

Dataverse Zenodo Dryad OSF
File management  
File & dataset
size limits
2.5GB/file; 1TB per researcher 50GB/dataset
(contact to discuss larger datasets)
(contact to discuss larger datasets)
Projects currently have no storage limit. There is a 5GB/file upload limit for native OSF Storage. No limit for the amount of storage used across add-ons
Useful integrations Open Science Framework (OSF); 
(archive a Github repo in Zenodo)
(for software publication)
Frictionless Data
Many integrations via add-ons
Versioning support? Yes Yes Yes Yes, for OSF storage
Persistent, unique identifier support DOI DOI for each version with a “Concept” and
DOI to represent “all versions”
Permissions & access  
Allows multiple administrators? Yes Yes for Communities, unknown for individual items Yes Yes
User guestbook? Yes Yes No No
Data licensing
CC0 default;
custom Terms of Use optional
CC BY default and options of  several Creative Commons licenses and open source software licenses CC0 required 14 licenses
are available, or custom license creation
Allows embargo? Yes Yes Yes, if allowed by journal Yes, for registrations
Provides private
URLs for peer review?
Yes Yes for software through Dryad integration; and by sharing secret link Yes View-only link with ability
to anonymize contributor list
Other access restrictions available? Yes, allow access to specific accounts, and allow users to request access Yes, allow access through secret link, and allow users to request access No Yes, with request access and private sharing setting
Search API, Data Access API,  and Dataverse Package for R on rOpenSci Project OAI-PMH and REST API REST API and Dryad Package for R on rOpenSci Project The OSF API generally conforms to the JSON-API v1.0 spec
Administrative considerations  
Costs Free to researcher up to 1TB; MITL partnership Free to researcher, up to 50GB/dataset Free to MIT research community due to MITL’s institutional membership. Free to researcher; MITL membership
Curation services Yes. Available to MIT users at Harvard fee levels. No Yes No
Usage analytics Downloads

Follows Counter Code Of Practice for Research Data Usage Metrics (Make Data Count)

Views (unique), Downloads (unique), Data volume, Unique views, Unique downloads

Follows Counter Code Of Practice for Research Data Usage Metrics (Make Data Count)

Views, Downloads, Citations

Follows Counter Code Of Practice for Research Data Usage Metrics (Make Data Count)

Downloads (per version),
Links, Forks
Working towards Counter Code Of Practice for Research Data Usage Metrics (Make Data Count)
Trusted repository? * Yes Yes Yes Yes

* Trusted repositories are those that commit to providing “reliable, long-term access to managed digital resources” (RLG-OCLC, 2002). “The TRUST Principles for digital repositories” offers a useful framework – Transparency, Responsibility, User focus, Sustainability and Technology – for evaluating the alignment of a repository to this mission. 


Using data from a repository?

Cite the data to give credit to the data producer, enable others to use the data, and meet journal requirements.


We are grateful to the creators of the Generalist Repository Comparison Chart for their efforts on developing a concise comparison chart from which we took much inspiration for the content of this page.

Stall, Shelley, Martone, Maryann E., Chandramouliswaran, Ishwar, Crosas, Mercè, Federer, Lisa, Gautier, Julian, Hahnel, Mark, Larkin, Jennie, Lowenberg, Daniella, Pfeiffer, Nicole, Sim, Ida, Smith, Tim, Van Gulick, Ana E., Walker, Erin, Wood, Julie, Zaringhalam, Maryam, & Zigoni, Alberto. (2020). Generalist Repository Comparison Chart. Zenodo.