For Journals
Publishing your authors’ research data in the Harvard Dataverse Repository increases your journal’s impact by:
- Preserving data and make it citable, following best practices that improve “the robustness and reproducibility of science” (Cousijn et al., 2017; Fenner et al., 2016)
- Helping authors meet funders’ data sharing mandates
- Increasing the credit authors receive for the reuse of their data. (Data Citation Synthesis Group, 2014)
We recommend four ways your journal can use the Harvard Dataverse Repository:
- Set up a journal Dataverse Collection
- Set up a journal Dataverse Collection with data curation & verification
- Integrate your journal's manuscript submission system with the Harvard Dataverse Repository
- Recommend the Harvard Dataverse Repository to authors
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, called a Dataverse Collection, making it easier to review, publish and track metrics for your authors' data. You can use your Dataverse Collection to incorporate data publishing into common article publishing workflows:
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When an article is accepted for publication, authors can be instructed to submit their data to your 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 Dataverse Collections that journals have created to publish data, visit Political Analysis' Dataverse Collection and the Quarterly Journal of Economics' Dataverse Collection.
Set up a journal Dataverse collection with data curation & verification
To ensure 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 (odumarchive@unc.edu) for more information.
The Harvard Dataverse Repository also offers curation services. Visit the curation services page to learn more.
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.
- Other publishers and journal publishing systems interested in letting authors submit associated data through their systems should contact us to discuss options.
Recommend the Harvard Dataverse Repository to authors
Instead of managing a Dataverse Collection and organizing authors' data within it, you can encourage your authors to publish their data on the Harvard Dataverse Repository and ask them to give you the dataset's temporary "Private URL" before the dataset is published or the dataset's persistent ID, (DOI) after the dataset is published.
Examples of journals and publishers recommending the Harvard Dataverse Repository for publishing data include PLOS, Nature Scientific Data, Elsevier, and American Heart Association Publications.