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Enter the Carleton University Dataverse Collection here
What is Dataverse? | What is a Dataverse? | What is a Dataset? | How can the Carleton University Dataverse Collection be used?
We are pleased to announce that Borealis, the Canadian Dataverse Repository, has successfully upgraded to version 5.12.1! New features include improved handling of file uploads, new dataset licensing features, and increased requirements for restricted data. Learn more here: https://spotdocs.scholarsportal.info/x/8YJvEQ
What is Dataverse?
Borealis, the Canadian Dataverse Repository / le dépôt Dataverse canadien is bilingual, multi-disciplinary, secure research data repository. The Carleton University Dataverse collection is our local instance of the larger Borealis service. It provides a platform for discovery, management, sharing, and preservation of research data, and supports Canadian researchers seeking to comply with Tri-Agency Research Data Management Policy requirements and recommendations for data deposit and sharing.
The Carleton University Dataverse collection allows you to:
- store, describe, share, cite and explore all types of research data
- meet funding and journal requirements
- increase the impact and visibility of your research
- track how your data is being accessed and used
For more benefits, review our 'What is CU Dataverse Collection and is it right for me?' page and the following presentation for more details:
Document:
Introduction to Borealis.pdf
(2.36 MB)
What is a Dataverse?
A Dataverse is a container for one or more Datasets or Dataverses. Carleton University's Dataverse Collection contains many Dataverses and Datasets. Researchers can create Dataverses for their own research projects, and/or directly deposit Datasets within their Institutional Dataverse.
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What is a Dataset?
A dataset is a container for a particular research data set (this can include research data, code, and documentation):
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A Dataset can be created under a collection or sub-collection:
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Datasets have an associated metadata record (also referred to as cataloguing information or data documentation). This metadata provides contextual information on the dataset. Please see here for more information on creating metadata for datasets.
How can the Carleton University Dataverse Collection be used?
The Carleton University Dataverse Collection can be used to:
- Represent your academic work unit
- Present selected research data output of an organization, research group or individual
- Publish a data journal: Oxford Journal: Political Analysis
- Teaching for empirical research skills: Project Tier
- Allow for private peer reviewing
- House replication datasets that you may require for publishing
The service offers a number of ways to organize, present and share your research data, and the user community includes many examples of different approaches. In addition to Borealis, the Canadian Dataverse Repository, you can see additional examples from ABACUS (BC Libraries network) or from the original Dataverse pioneers at the Harvard University Dataverse.
Review our storage and repository decision chart to see if the Carleton University Dataverse Collection is right for you, see our
Document:
Depositing Data Quick Guide.pdf
(764.14 KB)
or contact us to get support for creating your own Dataverse collection or depositing datasets.
