Researchers

Enjoy full control over your data. Receive web visibility, academic credit, and increased citation counts. A personal dataverse is easy to set up, allows you to display your data on your personal website, can be branded uniquely as your research program, makes your data more discoverable to the research community, and satisfies data management plans. Want to set up your personal dataverse?

Journals

Seamlessly manage the submission, review, and publication of data associated with published articles. Establish an unbreakable link between articles in your journal and associated data. Participate in the open data movement by using Dataverse as part of your journal data policy or list of repository recommendations. Want to find out more about journal dataverses?

Institutions

Establish a research data management solution for your community. Federate with a growing list of Dataverse repositories worldwide for increased discoverability of your community’s data. Participate in the drive to set norms for sharing, preserving, citing, exploring, and analyzing research data. Want to install a Dataverse repository?

Developers

Participate in a vibrant and growing community that is helping to drive the norms for sharing, preserving, citing, exploring, and analyzing research data. Contribute code extensions, documentation, testing, and/or standards. Integrate research analysis, visualization and exploration tools, or other research and data archival systems with Dataverse. Want to contribute?

Dataverse Repositories - A World View

Blog

Dataverse 4.8.6 Release

This release introduces a modular Explore feature to support external tools. It includes performance enhancements for S3 storage, provides an API endpoint to move datasets and other improvements, includes documentation improvements and fixes a number of bugs.

For a full list of new features, enhancements, and bug fixes, check out the release notes.

Read more about Dataverse 4.8.6 Release

Dataverse 4.8.4 release adds support for Schema.org

Dataverse’s latest update adds more metadata to dataset landing pages, using a community-driven vocabulary supported by major search engines to make it even easier to find open data online.

Search results account for a large portion of traffic to datasets published online. For example, since Dataverse 4 was released in June 2015, at least a fifth of the traffic to dataset pages in the largest Dataverse installation, Harvard Dataverse, has come from search engines, mostly Google. Giving search engines and other systems richer metadata to index datasets will help...

Read more about Dataverse 4.8.4 release adds support for Schema.org
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