The Advanced Guide
An advanced guide is also available, which contains information for users and administrators, as well as for developers and systems administrators. Please note that some features in the advanced guide are not available in Borealis.
Contacting Support
Reach out to your institutional support contact(s) from your institutional collection page by clicking “Contact” in the upper right part of the page (beside “Share”).
Alternatively you can also complete the contact form by clicking on the Support link in the main navigation menu. Your query will be sent to Borealis technical support, who may also forward to your institutional support contact(s).
Policies
For more information about the Borealis service, policies, and technology, review our policies.
- Preservation Plan: The preservation plan outlines the objectives, roles and responsibilities, strategies, and actions for preserving the digital files uploaded by users and stored in the repository.
- Privacy Statement: This privacy statement explains what data we collect through the use of Borealis, how this information is treated, and for what purpose.
- Technology Infrastructure and Security Information: The Technology Infrastructure and Security Information document outlines general information, technical infrastructure, application security, and storage and backup details.
- Terms of Use: The Terms of Use govern all use of the Borealis service.
- Accessibility: The accessibility statement explains our commitment to providing barrier-free access to Borealis.
Resources from the Alliance
The Digital Research Alliance of Canada, the “Alliance” (formerly the Portage Network) has a variety of resources for the Dataverse software, as well as other tools:
Dataverse Software
- Dataverse North Metadata Best Practices Guide (v3.0)
- Brief Guides for Dataverse and Dataverse Metadata
- Dataverse 101 Learning Module 1
Other Tools & Platforms
- DMP Assistant: a national, online, bilingual data management planning tool.
- Federated Research Data Repository (FRDR): research data repository for Canadian researchers.
- Guidance on De-Identification for Qualitative Data: resource prepared by the Qualitative Data Repository at Syracuse University.
- De-identification Guidelines for Structured Data (PDF): guidance on de-identifying quantitative data from the Information and Privacy Commissioner of Ontario.
- Tips for improving data discoverability: a short article on tools and techniques to make your data more discoverable.