We maintain UBC Dataverse Collection, a cross-disciplinary research data repository on Borealis
Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data. Data is stored entirely on Canadian servers. Datasets in our dataverse collection are discoverable by Google, UBC Library Summon, FRDR, DataCite, and much more.
Key features of UBC Dataverse Collection include:
- UBC CWL integration.
- No data deposit fees.
- Support from the Research Data Management Librarian.
- Dedicated Dataverses for yourself or your department/lab/research group are available.
- Canadian data storage platform.
- 5 GB maximum individual file size.
- Digital Object Identifiers (DOIs) at the dataset level.
- Different licensing models (CC0, CC-BY and others) are available.
- Standardized metadata and a nationwide data discovery platform.
- Datasets are incorporated automatically into FRDR, making them findable alongside other Canadian research data.
Guides for Dataverse:
- Quick Guide to UBC Dataverse – Something brief, just to get you started.
- Extended Guide to UBC Dataverse – More detailed information about data discovery, file formats, DOIs, Private URLs, access control, licenses, file size, version control and more.
- Admin Guide to UBC Dataverse – A deeper dive into how to create and customize your own dataverses and sub-dataverses, design widgets, permissions, themes and guestbooks.
- Role Allocation in UBC Dataverse Collection – This guide explains how repository roles are allocated and managed
- Brief Guide – Dataverse Metadata – Ensure your datasets are discoverable by using good metadata.
- File naming guidelines
- File format recommendations
- Directories Structure
- Creating a README for Your Dataset
- Dataverse North Metadata Best Practices Guide – More detailed definitions, tips and examples for each metadata field in the citation block.
- Dataverse Curation Guide – Step-by-step instructions for curating new datasets deposited in Dataverse.
Training Materials from Scholars Portal:
- Dataverse 101 – An overview of the purpose, importance, and benefits of sharing research data, as well as an overview of the Dataverse repository platform and its key features.
- Video Tutorials
Research data in the UBC Dataverse Collection is digitally preserved with Level 1 preservation.
Need help? Contact research.data@ubc.ca