Publishing your authors’ research data on Dataverse repositories increases your journal’s impact:
- Preserve data and make it citable, following best practices that improve “the robustness and reproducibility of science” (Cousijn et al., 2017; Fenner et al., 2016)
- Help authors meet funders’ data sharing mandates
- Increase the credit authors receive for the reuse of their data. (Data Citation Synthesis Group, 2014)
This guide recommends four ways journals can use Dataverse repositories. It applies to data repositories that help journals publish and archive their authors' data, including:
See our map of data repositories using the Dataverse Project software. Please review each repository's website for more information about who can publish data, fees and storage limits.
Have questions or need help using The Dataverse Project? Contact the Dataverse Project team or schedule a training. Our support team can lead trainings for you and your team virtually and in person.
Use a Dataverse repository 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 the Dataverse Project 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 Dataverse collections that do not contain research data.