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When choosing a repository for your research data, consider what relevant disciplinary repositories or repository requirements have been mandated by your funding agencies or intended journal publications. If these do not apply, we recommend the University of Waterloo Dataverse in Borealis or the Federated Data Repository (FRDR).
If you would like to chat about selecting the best repository for your research data, book a consultation by emailing LibraryRDM@uwaterloo.ca
The University of Waterloo Dataverse is Waterloo’s institutionally managed and supported multidisciplinary research data repository within Borealis, The Canadian Dataverse Repository. The University of Waterloo Dataverse is available to researchers or research organizations and their collaborators who are affiliated with Waterloo.
Borealis supports open discovery, management, sharing, and preservation of bilingual and multidisciplinary Canadian research data Borealis software is based on The Dataverse Project, an open-source data repository application developed by the Institute for Quantitative Social Science (IQSS) at Harvard University, with international contributors.
Borealis supports the deposit of individual file sizes up to 5GB. If you have files larger than 5GB, contact the RDM team to discuss options.
Step 1 Review Waterloo’s UWaterloo Borealis Data Deposit Guidelines before getting started.
Step 2 Prepare a README file for your deposit.
Step 3 Submit your deposit for review using the Quick Guide to Making a Borealis Deposit*. Deposited datasets are reviewed prior to publication by the RDM team. A RDM support ticket will be opened and sent to you within three business days. *A text based version of this document is available here: A Quick Guide for Depositing Data in UWaterloo Dataverse at Borealis (Accessible Text Version)
Data repository directories can help you find the right location to deposit your data or to locate research data. These online directories maintain lists of data sources and repositories for a variety of subject disciplines.