Repository · FAIRsharing · for any subject

Borealis, the Canadian Dataverse Repository (Borealis)

any kind of data

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. Borealis is a shared service provided in partnership with Canadian regional academic library consortia, institutions, research organizations, and the Digital Research Alliance of Canada, with technical infrastructure hosted by Scholars Portal and the University of Toronto Libraries. Borealis is designed to balance openness and responsibility, following the principle of “as open as possible, as closed as necessary.” While metadata is openly discoverable, access to data may be restricted where appropriate. Deposit is limited to affiliated researchers, faculty, and students from participating institutions, ensuring institutional oversight and compliance with policy requirements.

Website
Record in FAIRsharing (doi:10.25504/FAIRsharing.kwzydf)
Subjects: Data Management, Subject Agnostic

What is known per question

The questions of the decision tree, with what FAIRsharing says about this repository. ✓ supported, ✗ excluded, ? not known.

What kind of data do you want to archive?

✓ Spectra
✓ Crystal structures
✓ Computational chemistry
✓ Catalysis
✓ Compounds and reactions
✓ Bioassays and chemical biology
✓ Materials and polymers
✓ Images and microscopy
✓ Something else

Subjects: Data Management; Subject Agnostic

Domains: Experimental measurement; data storage

Does the journal or publisher you publish with require or recommend a repository?

? Yes
? No
? I do not know

FAIRsharing has no information on this.

Which discipline does your data belong to?

FAIRsharing has no information on this.

Which publisher?

FAIRsharing has no information on this.

Does your funder have requirements for where data is archived?

? Yes
? No
? I do not know

FAIRsharing has no information on this.

Which funder?

FAIRsharing has no information on this.

Does your institution offer a data repository?

? Yes
? No
? I do not know

FAIRsharing has no information on this.

Which institution?

FAIRsharing has no information on this.

Can your data be shared openly?

✓ Yes, openly available
? Yes, after an embargo
✗ Only with restrictions

Data access: open

Data deposition: controlled: Deposition for Canadian researchers affiliated with our partner institutional libraries only

How large is your dataset?

? Less than 1 GB
? 1 GB to 50 GB
? 50 GB to 1 TB
? More than 1 TB

FAIRsharing has no information on this.

Why can the data not be open?

? It contains personal data
? Commercial or intellectual property reasons
? Safety or security concerns
? A data sharing agreement limits it

FAIRsharing has no information on this.

Under which license do you want to share the data?

✓ CC0 / public domain
✓ CC BY
? Another open license
? Not decided yet

Licences: Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication; Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0); Creative Commons Attribution 4.0 International (CC BY 4.0); Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0); Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0); Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Do you need a persistent identifier, such as a DOI, for citing the data?

? Yes, a DOI
? Any persistent identifier will do
? No

FAIRsharing has no information on this.

Must the data be stored in a specific region?

✗ In the European Union
? In a specific country
✓ No preference

Country: Canada

Must archiving be free of charge?

? Yes, free only
? A fee is fine

FAIRsharing has no information on this.

Which country?

? not known for the list ✗ excludes 15

Country: Canada