Join a growing community of Harvard and worldwide researchers who share data in the Harvard Dataverse Repository

Publishing your data and code in the Harvard Dataverse Repository:

  • Increases the visibility of your research

  • Gets you credit for your data through citations

  • Satisfies data sharing requirements from funders and journals

GETTING STARTED WITH THE HARVARD DATAVERSE REPOSITORY GO TO THE HARVARD DATAVERSE REPOSITORY

The Harvard Dataverse Repository is a free data repository open to all researchers from any discipline, both inside and outside of the Harvard community, where you can share, archive, cite, access, and explore research data. Each individual Dataverse collection is a customizable collection of datasets (or a virtual repository) for organizing, managing, and showcasing datasets.

You can open your data to the general public, or restrict access and define customizable terms of use. When you publish your data, you automatically get a standard data citation with a Digital Object Identifier (DOI), and your metadata is open and findable via search engines, even when the data are restricted.
 

What is the Harvard Dataverse Repository?

A brief introduction to sharing, finding, and exploring data using the Harvard Dataverse Repository.
Researchers

Enjoy full control over your data. Archive up to 1TB. Receive web visibility, academic credit, and increased citation counts. A personal Dataverse collection 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.
Getting started for researchers >

Journals
Seamlessly manage the submission, review, and publication of data associated with articles. Establish an unbreakable link between articles in your journal and associated data. Participate in the open data movement by using the Harvard Dataverse Repository as part of your journal data policy or list of repository recommendations.
Getting started for journals >

Organizations
Establish a research data management solution for your organization. Increase discoverability of your data. Track version changes.
Getting started for organizations >