Dataverse
Dataverse is open-source web software for managing and sharing research data.
What Dataverse is
Dataverse is open-source web software for managing and sharing research data. Researchers and organizations can upload, publish, and download files, add descriptive metadata, define reuse terms, and follow dataset changes through versioning. Repositories arrange content into virtual archives called Dataverse collections, which hold datasets, descriptions, and data files. The project describes use by researchers, journals, institutions, and developers. Documented connections include GitHub, Dropbox, Open Science Framework, GitLab, iRODS, Globus, Galaxy, and JupyterHub; its community-built Integrations Dashboard is still in development. Authentication can be local or remote, including Shibboleth and OAuth/OpenID Connect. The installation guidance addresses securing Solr and API endpoints, requiring HTTPS, and using proxies. Dataverse is free, open-source software, but an institution or operator must install and configure it. Installation requires Linux, Java, Payara, PostgreSQL, Solr, and jq; the guide recommends RHEL or a derivative such as Rocky Linux. Without R installed, tabular data ingest and export are unavailable.
Good
- Free, open-source software.
- Dataset changes can be tracked with versioning.
- Supports local and remote authentication.
- Offers documented connections to research and development tools.
Watch out
- An institution or operator must install and configure it.
- Installation requires several system components.
- Tabular ingest and export require R.
- Integrations Dashboard remains in development.
Who it suits
Dataverse suits researchers, journals, institutions, and developers who need to publish, preserve, or work with research datasets. It is a better fit for operators comfortable with Linux commands and system setup.
Verdict
Dataverse offers research data management and publishing tools with versioning and metadata. Plan for a self-hosted installation and the listed technical requirements before choosing it.
Plans and prices
From Dataverse's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Dataverse Software | Free | Open-source software; institution or operator installs and configures the repository |
The facts
Each one read from Dataverse's own pages, with the date it was checked.
What it does
- Core features
- Users can upload, manage, publish, and download data files; add rich metadata; set reuse terms; and track published dataset changes with versioning.checked 8 Oct 2026
- Installation
- The installation guide requires Linux, Java, Payara, PostgreSQL, Solr, and jq; it recommends RHEL or a derivative such as Rocky Linux.checked 8 Oct 2026
- Installation skill requirement
- The installation guide says installers need to be comfortable with basic system tasks and Linux commands.checked 8 Oct 2026
- Integrations
- Documented integrations include GitHub, Dropbox, Open Science Framework, GitLab, iRODS, Globus, Galaxy, and JupyterHub.checked 8 Oct 2026
- Integration status
- The Integrations Dashboard is described as community software that is currently in development.checked 8 Oct 2026
- Intended users
- The project describes use cases for researchers, journals, institutions, and developers.checked 8 Oct 2026
- Optional functionality
- Without R installed, the software can still run, but tabular data ingest and export functionality described in the guide is unavailable.checked 8 Oct 2026
- Organization
- A Dataverse repository hosts virtual archives called Dataverse collections, which contain datasets with descriptive metadata and data files.checked 8 Oct 2026
- Purpose
- Dataverse is open-source web application software for sharing, preserving, citing, exploring, and analyzing research data.checked 8 Oct 2026
- Security
- The software supports remote and local authentication, including Shibboleth and OAuth/OpenID Connect; local account passwords are stored as salted hashes.checked 8 Oct 2026
- Security configuration
- The installation guidance covers securing Solr and API endpoints, forcing HTTPS, and using proxies.checked 8 Oct 2026
- Support
- The project says IQSS leads software development and provides user support with Harvard’s Open Data Assistance Program.checked 8 Oct 2026
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