Skip to content

A data repository framework to share and publish research data.

License

Notifications You must be signed in to change notification settings

TexasDigitalLibrary/dataverse

This branch is 5 commits ahead of, 12920 commits behind IQSS/dataverse:develop.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

0631c03 · Dec 20, 2020
May 27, 2020
Nov 24, 2020
Dec 20, 2020
Nov 17, 2020
May 2, 2019
Jan 7, 2019
Dec 7, 2020
Dec 20, 2020
Nov 5, 2020
Sep 23, 2020
Jul 18, 2019
Jun 6, 2019
Jan 27, 2020
Sep 27, 2019
Apr 22, 2020
Sep 26, 2019
Oct 31, 2014
Apr 29, 2020
Jul 31, 2020
Sep 27, 2018
Dec 10, 2020

Repository files navigation

Dataverse®

Dataverse is an open source software platform for sharing, finding, citing, and preserving research data (developed by the Data Science and Products team at the Institute for Quantitative Social Science and the Dataverse community).

dataverse.org is our home on the web and shows a map of Dataverse installations around the world, a list of features, integrations that have been made possible through REST APIs, our development roadmap, and more.

We maintain a demo site at demo.dataverse.org which you are welcome to use for testing and evaluating Dataverse.

To install Dataverse, please see our Installation Guide which will prompt you to download our latest release.

To discuss Dataverse with the community, please join our mailing list, participate in a community call, chat with us at chat.dataverse.org, or attend our annual Dataverse Community Meeting.

We love contributors! Please see our Contributing Guide for ways you can help.

Dataverse is a trademark of President and Fellows of Harvard College and is registered in the United States.

Dataverse Project logo

API Test Status API Test Coverage Unit Test Status Unit Test Coverage

About

A data repository framework to share and publish research data.

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Java 81.1%
  • HTML 11.0%
  • JavaScript 3.4%
  • Shell 1.3%
  • Python 1.0%
  • XSLT 0.7%
  • Other 1.5%