For Journals

Example of a journal dataverse.

Publishing your authors’ research data in the Harvard Dataverse Repository increases your journal’s impact:

We recommend four ways your journal can use the Harvard Dataverse Repository:

Please note that the Harvard Dataverse Repository is a data sharing repository. If your journal is seeking an indexing service for distributing research articles, we recommend the Social Science Sharing Network. We reserve the right to remove files, datasets, and Dataverse collections that do not contain research data.

Set up a journal Dataverse collection

Within the Harvard Dataverse repository, your journal can create and customize its own space, making it easier to review, publish and track metrics for your authors' data. You can use this space to incorporate data publishing into common article publishing workflows:

  • When an article is accepted for publication, authors can be instructed to submit their data to your journal's customized space, called a Dataverse collection.

  • Once an author submits a dataset, the Harvard Dataverse repository sends a journal editor an email notification to review and publish the dataset.

You can also embed your Dataverse collection on your journal's website, so visitors can search for and download datasets related to published articles without leaving the site.

For examples of how other journals are using their own Dataverse collections to publish data, visit Palgrave Communications, Political Analysis, and Quarterly Journal of Economics.

How to set up your journal’s Dataverse collection

  • Create an account (see Create Account) or login to an existing account. If multiple journal staff members will be working in the journal's Dataverse collection, we recommend that each member uses an account under her or his own name so that it's easier to tell who makes changes to each dataset version.
  • Review Terms of Service
    • Dataverse is a data sharing platform. If your journal is seeking a service to index research articles, we recommend the Social Science Sharing Network. The Harvard Dataverse Repository reserves the right to remove files and dataverses that do not contain research data.
    • Sharing of sensitive research data (such as data with personally identifiable information) is not yet supported, but will be available with the planned DataTags integration.
  • Create and customize your dataverse using the options in the Edit dropdown menu (see Dataverse Collection Management and Dataset + File Management), including:
    • General Information: Describe your Dataverse collection, specify how your authors will need to describe the research data they are depositing (e.g. which metadata), and how visitors can search for data in your Dataverse collection (e.g. which facets). We recommend choosing the Journal Metadata field and any additional discipline-specific metadata fields.
    • Permissions: Use these options to control who is able to submit data to your Dataverse collection and whether or not your editors will have to approve submitted data before it is published on your Dataverse collection.
    • More “Edit” options: Consider configuring your dataverse using the remaining "Edit" options, which can help streamline the process of reviewing and uploading data, and can improve discoverability:
      • Using themes and widgets, you can customize the look of your dataverse and display it on your journals' website, so readers can access your authors’ data without leaving your journal’s website
      • Private URLs streamline the review process by making it easy for others to access unpublished datasets without creating an account on the Harvard Dataverse Repository
      • Dataset metadata templates are useful for creating multiple datasets with the same metadata
  • Revise editor and reviewer training material and author instructions for uploading and citing data. Here are some helpful guides:

Set up a journal Dataverse collection with data curation & verification

If your journal is interested in making sure that datasets associated with your articles are replicable, you can set up a Dataverse collection and have a third party curate and verify the reproducbility of datasets that authors deposit. The UNC Odum Institute offers this service.

Contact the Odum Archive ( for more information.

Visit our curation services page if your journal is interested in our curation services.

Integrate your journal's manuscript submission system with the Harvard Dataverse Repository

When a manuscript submission system is integrated with the Harvard Dataverse Repository, your authors can submit their manuscripts and research data at the same time, from the same platform, automatically creating persistent, bi-directional links between articles and their underlying data.

  • For journals that have data associated with their articles, any journal using the most common versions of Open Journal Systems (OJS) can use OJS's Dataverse Software Plugin to upload data to the Harvard Dataverse Repository through the OJS platform.
  • For all other publishers and journal publishing systems interested in letting authors submit associated data through their systems, please contact

Recommend the Harvard Dataverse Repository to authors

Include the Harvard Dataverse repository on your journal website as a recommended data repository for authors to deposit data and receive a formal scholarly data citation to include in their published articles.

Examples of journals and publishers recommending the Harvard Dataverse Repository for data deposits include PLOS, Nature Scientific DataElsevier, and American Heart Association Publications.