Scholars Portal Dataverse is a publicly accessible secure Canadian data repository provided by Scholars Portal on behalf of the Ontario Council of University Libraries (OCUL) and other participating institutions. Dataverse can be used by affiliated researchers to deposit, share, and archive research data.
Dataverse is an open-source tool developed by the Institute for Quantitative Social Sciences (IQSS) at Harvard University, with contributors and adopters across Canada and the world.
Researchers can use Dataverse to directly deposit data, create metadata, release and share data openly or privately, visualize and explore data, and search for data.
For more information about Scholars Portal Dataverse, contact us.
For more information about how to use Dataverse see the Advanced User Guide.
What is a Dataverse?
A Dataverse is a container for one or more Datasets or Dataverses. Each university in the Scholars Portal Dataverse has an Institutional Dataverse that contains many Dataverses and Datasets. Researchers can create Dataverses for their own research projects, and/or directly deposit Datasets within their Institutional Dataverse or under the main root Dataverse.
Dataverse accepts all kinds of data files: tabular, text, image, etc. All file formats are accepted.
What is a Dataset?
A Dataset is a container for a particular research data set (this can include research data, code, and documentation).
Datasets have an associated metadata record (also referred to as cataloging information or data documentation). This metadata provides contextual information on the dataset. Please see here for more information on creating metadata for datasets.
Why use Dataverse?
Some key benefits to using Dataverse to manage your research data include:
- Effective sharing. Dataverse is a convenient way to disseminate your data, and can facilitate your research team’s collaboration within a secure space.
- Track changes. Dataverse provides file version control for managing changes to a project without overwriting any part of that project, an especially useful feature when working on a team.
- Long-term access and preservation. Persistent identification and normalization of your data ensures reliable access and prevention from data obsolescence.
- Organization and compatibility. Create your own personal web data archive that conforms to international data standards to maximize system compatibility and searchability.
- Save time. Dataverse has an easy to use interface for uploading and sharing your data.
- Increase research visibility. Increase scholarly recognition for your work beyond your research publications.
- Meet grant requirements. Many funding agencies now require that researchers deposit data which is collected as part of their research project into an archive.
Crosas, M. The Dataverse Network: An Open-source Application for Sharing, Discovering and Preserving Data. D-Lib Magazine. 2011;Volume 17(1/2).
King, Gary. 2007. An Introduction to the Dataverse Network as an Infrastructure for Data Sharing. Sociological Methods and Research 36: 173–199. Available at http://j.mp/iHJcAa.