Support for FAIR Data Principles

Findable, Accessible, Interoperable, Reusable. More information.

Data citation for datasets and files

EndNote XML, RIS Format, or BibTeX Format. More information.

OAI-PMH (Harvesting)

Gather and expose metadata from and to other systems using standardized metadata formats: Dublin Core, Data Document Initiative (DDI), OpenAIRE, etc. More information.

APIs for interoperability and custom integrations

Search API, Data Deposit API, Data Access API, Metrics API, etc. More information.

Login via Shibboleth

Single Sign On (SSO) using your institution's credentials. More information.

Login via ORCID, Google, or GitHub

Log in using popular OAuth2 providers. More information.

DataCite integration

When datasets are published their metadata is sent to DataCite. More information.

Usage statistics and metrics

Download counters, support for Make Data Count. More information.

Schema.org JSON-LD

Used by Google Dataset Search and other services for discoverability. More information.

Preview and analysis of tabular files

Data Explorer allows for searching, charting and cross tabulation analysis More information.

External Tools

Enable additional features not built in to the Dataverse software. More information.

Fixity checks for files

MD5, SHA-1, SHA-256, SHA-512, UNF. More information.

Publishing workflow support

Datasets start as drafts and can be submitted for review before publication. More information.

File download in R and TSV format

Proprietary tabular formats are converted into RData and TSV. More information.


History of changes to datasets and files are preserved. More information.

Custom Terms of Use

CC0 waiver by default, custom terms of use. More information.


Optionally collect data about who is downloading the files from your datasets. More information.

Faceted search

Facets are customizable and data driven. More information.

File hierarchy

Users are able to control dataset file hierarchy and directory structure. More information.

Restricted files

Control who can download files and choose whether or not to enable a "Request Access" button. More information.

Customization of Dataverse Collections

Your personal or organzational Dataverse Collection can be customized and branded. More information.

Dropbox integration

Upload files stored on Dropbox. More information.


In app and email notifications for access requests, requests for review, etc. More information.


Embed data outside of application More information.

User management

Dashboard for common user-related tasks. More information.

Backend storage on S3 or Swift

Choose between filesystem or object storage. More information.

Mapping of geospatial files

Create maps from shapefiles tabular files with geospatial data. More information.

Handling large data

File transfer using rsync (experimental). More information.

Pull header metadata from Astronomy (FITS) files

Dataset metadata prepopulated from FITS file metadata. More information.

Please help us keep this page up to date! To contribute ideas, please reply on theĀ favorite features of the Dataverse Project thread on the mailing list or request access to the crowdsourced list of ideas spreadsheet (further instructions). See also our Comparative Review of Various Data Repositories.