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Research Data Management

Recommendations and resources for managing qualitative and quantitative data collected or created in the research process.

Data Sharing & Preservation

The Brock library supports the deposit of researcher data into appropriate repositories and archives. We can facilitate deposit of data into one or more of the options below or help you identify a discipline-specific archive. 

Brock University Dataverse (Borealis)

The Dataverse platform makes it easy for researchers to deposit data, create appropriate metadata, and keep track of versions. All data is hosted on Canadian servers, in a secure environment that conforms to industry best practices for maintaining data integrity and longevity.  

Brock researchers may choose to affiliate with the Brock University Dataverse within the Scholars Portal Dataverse.

Check out the brief deposit guide below. If you have any questions, feel free to contact Brock Dataverse Administrator Nicole Stradiotto (nstradiotto@brocku.ca). 

Brock University Digital Respository

Brock University's Digital Repository houses Brock Master's theses, dissertations, digitized primary sources from Special Collections & Archives, and open access publications by Brock researchers.  The Library has established an Images & Data subcommunity within the Digital Repository which is used to house selected researcher-generated data collections that can be shared openly with the world.

Discipline-Specific Data Archives

There are many discipline-based research data repositories ready to receive researcher data.  Extensive listings of repositories can be found at Re3Data (Registry of Research Data Repositories). 

ICPSR offers data curation, planning, and archiving services for social sciences data, including open access and restricted options. Brock is an ICPSR member instutition.

FRDR - Federated Research Data Repository for Canada

FRDR, The Federated Research Data Repository, is a bilingual publishing platform for sharing and preserving Canadian research data. It is a curated, general-purpose repository, custom built for large datasets.