Getting Started

Publishing your data is easy on the Harvard Dataverse Repository!

The Harvard Dataverse Repository uses a ‘Submit for Review’ workflow for administrative checks only. We screen for spam or misuse and ensure that features are working. We do not assess scientific quality or perform peer reviews. Deposits that fail these checks or do not meet the research-data scope are returned to the submitter or removed.

A Dataverse Collection is a customizable container for organizing and showcasing datasets of researchers, research groups, entire departments, journals, and more. We recommend you first create a Dataverse Collection and then add datasets to that Dataverse Collection.

Files up to 2.5GB in any format are accepted. Some formats (RData, SPSS, STATA, CSV, xlsx, FITS) are processed to access their metadata and thus be able to provide more features for these type of files (such as file metadata search and re-formatting). 

To deposit data in the Harvard Dataverse Repository you will need to:

• Log in with the following options:
  • Your institutional affiliation login, e.g. HarvardKey

  • Username/email

     

• Add a Dataverse Collection if you don't already have one
   
• Add your datasets to your Dataverse Collection
   
• Add metadata – you'll need a title for the dataset, the authors or data collectors, and a description about the data to create a draft. Fill in other metadata fields to help others find your data after the draft is created 
   
• Upload any type of quantitative or qualitative data in any format
   
• Click "Publish" when you're ready to share, and you will get a formal scholarly data citation
• Embed the Dataverse Collection into your Open Scholar (Harvard) or other personal site – visit OpenScholar at Harvard if you don't have a site and would like one 

You can practice adding data on the Demo Dataverse Repository website