Journals

Publishing your authors’ research data on Dataverse repositories increases your journal’s impact:

This guide recommends four ways journals can use Dataverse repositories. It applies to data repositories that accept data from journals, including:

See our map of data repositories using Dataverse software. Please review each repository's website for more information about fees and storage limits.

Have questions or need help using Dataverse? Contact Dataverse or schedule a training. Our support team can lead trainings for you and your team virtually or in person.

 

Use Dataverse for publishing your authors’ data and making it citable

We recommend four ways that journals can use Dataverse repositories to ensure that authors make data available and get credit for their research, with links to and from associated published articles.

Please note that Dataverse is a data sharing platform. If your journal is seeking an indexing service for distributing research articles, we recommend the Social Science Sharing Network. Dataverse repositories may reserve the right to remove files and dataverses that do not contain research data.

Set up a journal dataverse

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

You can also embed your dataverse on your journal's website using our widget feature, so visitors can see datasets related to published articles without leaving the site.

For examples of how other journals are using their own dataverses to publish data, visit Palgrave Communications, Political Analysis, and Quarterly Journal of Economics on Harvard Dataverse, and State Politics & Policy Quarterly on UNC Dataverse.

How to set up your journal's dataverse

  • Create an account (see Create Account)
  • Review Terms of Service
    • Dataverse is a data sharing platform. If your journal is seeking an indexing service, we recommend the Social Science Sharing Network as a service for distributing research articles. Repositories reserve the right to remove files and dataverses that do not contain research data.
    • Sensitive research data sharing (such as data with personally identifiable information) is not yet supported, but will be available via the planned integration with DataTags.
  • Create and customize your dataverse, using the options in the Edit dropdown menu (see Dataverse Management and Dataset + File Management), including:
    • General Information: Describe your dataverse, 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 (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 and whether or not your editors will have to approve submitted data before it is published on your dataverse.
    • 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 a Dataverse account
      • 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

 

Set up a journal dataverse with data curation & verification

Journals interested in ensuring that datasets associated with their articles are replicable can set up a dataverse. A third party curates and verifies the reproducbility of datasets that authors deposit. This service is currently offered by the UNC Odum Institute. Journals using their services include the American Journal of Political Science, which is hosted on Harvard Dataverse, and State Politics & Policy Quarterly, hosted on the Odum Institute Dataverse.

Contact the Odum Archive (odumarchive@unc.edu) for more information.

 

Integrate your journal's manuscript submission system with Dataverse

With Dataverse integration, 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.

 

Recommend Dataverse to authors

Include Dataverse on your journal website as a recommended data repository for authors to deposit data and receive a formal scholarly data citation to include with their published article. See our map of known Dataverse repositories, including Harvard Dataverse, which is available to any researcher from any discipline to deposit data.

Examples of journals and publishers recommending Harvard Dataverse for authors to deposit data include PLOS, American Heart Association Publications, Elsevier and Nature Scientific Data.

 

Contact Dataverse

Have questions or need help using Dataverse? Contact Dataverse or schedule a training. Our support team can lead trainings for you and your team virtually or in person.