Dataverse is a research data platform and repository for sharing, discovering and preserving research data, offered to Carleton faculty and scholars in partnership with the ScholarsPortal service of the Ontario Council of University Libraries (OCUL).
Review this presentation: Dataverse for data sharing: An introduction (.pdf)
- Robust storage network: Ontario-hosted with long-term access and preservation in mind
- Meet open access and dissemination requirements for research funders (e.g. SSHRC's Research Data Archiving Policy)
- Recognition and increased visibility: share your data with a global research community (our Dataverse now indexed in the Web of Sciences' Data Citation Index)
- Impressive metadata & citation standards support - with Digital Object Identifiers (DOI) for your datasets.
How can Dataverse be used?
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 (some examples below from Harvard's Dataverse):
- Represent your academic work unit.
- Present selected research data ouput of an organization, research group or individual
- Publish a data journal: Oxford Journal: Political Analysis
- Teaching for empirical research skills: Project Tier
You can also contribute your research data into the MacOdrum Library Data Repository and let us take care of the rest (metadata creation, uploading data, etc.). We also provide "getting started" support for creating your own dataverse.
Is Dataverse right for you? Some disciplines have their own preferred repositories (e.g. arXiv.org is a major e-print repository for physics, mathematics, computer science, and other fields), but not all such repositories are optimized specifically for research data. In the U.S., for example, DataONE is of keen interest for certain biology, earth and environmental sciences data communities.