Guides: Research Data Management: Data Repositories

Research Data Management Repositories

Find a repository for your discipline or contact your subject librarian for assistance in selecting a repository for your data.

Ontario Tech Borealis
Borealis, the Canadian Dataverse Repository is a repository for research data collected by individuals and organizations associated with Ontario universities.
FRDR - Federated Research Data Repository
Federated repository of Canadian research datasets. Find, upload and share research data. Available to all researchers affiliated with Canadian postsecondary institutions. Create an account using your institutional email address. Download and install Globus Connect software for efficient file transfer.
re3data - Registry of Research Data Repositories
Global registry of research data repositories that covers research data repositories from different academic disciplines.Repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions.

Selecting a Repository

There are many variables that go into selecting a data repository. Data is usually deposited in a repository near the end of the research life cycle when it is ready for sharing and publication. Librarians can help to guide researchers in selecting an appropriate repository.

Decision tree designed by Melissa Cuthill and Eugene Barsky, UBC, CC-BY

Selecting Data for Preservation

When deciding what to deposit it is important to prioritize data that are unique or vulnerable, historically significant or valuable, and support your published (or soon to be published) research. You should also consider the data sharing requirements of your funding or publisher.

The following are general guidelines to consider when deciding what research data to deposit in a dataverse:

YES	Deposit Original datasets and raw data that cannot be regenerated Non-original datasets that are not easily available online and you have permission to share Codebooks, study descriptions, summary statistics (especially for social science data)
MAYBE	Consider depositing Intermediate versions of analyses that were used in theses or publications and/or may be useful to others Output files from analyses that are difficult or time consuming to recreate from the original data
UNNECESSARY	You do not need to deposit Incomplete, non-functional, or intermediate versions of code that would be of marginal usefulness to others, Charts and graphs that can be easily created from original data Output files from analyses easily recreated from original data
NO	Do not deposit any data containing personal identifying information of human subjects

For more information and guidelines see "Data Sharing - What to Share" and Preparing content for deposit by Stanford Libraries Data Management Services.

Adapted from Research Data Engagement https://libguides.unbc.ca/rdm