Features#

You are welcome to try the Dataverse software and its rich set of features at https://demo.dataverse.org.

Support for FAIR Data Principles#

Findable, Accessible, Interoperable, Reusable. More information

Data citation for datasets and files#

EndNote XML, RIS, or BibTeX format at the dataset or file level. 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 (SWORD) API, Data Access API, Metrics API, Migration API, etc. More information

API client libraries#

Interact with Dataverse APIs from Python, R, Javascript, Java, and Ruby More information

DataCite integration#

DOIs are reserved, and when datasets are published, their metadata is published to DataCite. More information

Internationalization#

The Dataverse software has been translated into multiple languages. More information

Versioning#

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

Restricted files#

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

Embargo#

Make content inaccessible until an embargo end date. More information

Custom licenses#

CC0 by default but add as many standard licenses as you like or create your own. More information

Custom terms of use#

Custom terms of use can be used in place of a license or disabled by an administrator. More information

Publishing workflow support#

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

File hierarchy#

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

File previews#

A preview is available for text, tabular, image, audio, video, and geospatial files. More information

Preview and analysis of tabular files#

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

Usage statistics and metrics#

Download counters, support for Make Data Count. More information

Guestbook#

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

Fixity checks for files#

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

File download in R and TSV format#

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

Faceted search#

Facets are data driven and customizable per collection. More information

Customization of collections#

Each personal or organizational collection can be customized and branded. More information

Private URL#

Create a URL for reviewers to view an unpublished (and optionally anonymized) dataset. More information

Widgets#

Embed listings of data in external websites. More information

Notifications#

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

Schema.org JSON-LD#

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

External tools#

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

External vocabulary#

Let users pick from external vocabularies (provided via API/SKOSMOS) when filling in metadata. More information

Dropbox integration#

Upload files stored on Dropbox. More information

GitHub integration#

A GitHub Action is available to upload files from GitHub to a dataset. More information

Integration with Jupyter notebooks#

Datasets can be opened in Binder to run code in Jupyter notebooks, RStudio, and other computation environments. More information

User management#

Dashboard for common user-related tasks. More information

Curation status labels#

Let curators mark datasets with a status label customized to your needs. More information

Branding#

Your installation can be branded with a custom homepage, header, footer, CSS, etc. More information

Backend storage on S3 or Swift#

Choose between filesystem or object storage, configurable per collection and per dataset. More information

Direct upload and download for S3#

After a permission check, files can pass freely and directly between a client computer and S3. More information

Export data in BagIt format#

For preservation, bags can be sent to the local filesystem, Duraclound, and Google Cloud. More information

Post-publication automation (workflows)#

Allow publication of a dataset to kick off external processes and integrations. More information

Pull header metadata from Astronomy (FITS) files#

Dataset metadata prepopulated from FITS file metadata. More information

Provenance#

Upload standard W3C provenance files or enter free text instead. More information

Auxiliary files for data files#

Each data file can have any number of auxiliary files for documentation or other purposes (experimental). More information