Many journals rely on Dryad to publish data connected to research articles. We make it simple for editors to ensure underlying data is accessible through submission and peer review with Private for Peer Review.
With this functionality, at the point of submission, authors can choose to keep the data package private, hidden from public view, until a final decision on the related manuscript is rendered by the journal office.
Let’s take a look at four benefits of using this feature.
1. Get a randomized sharing link appropriate for double-blind peer review. When an author enables Private for Peer Review mode, we generate a randomized URL that links to a deidentified landing page and immediately launches a download of the data files only (no metadata).
2. Include supplemental content published with Zenodo. When authors publish data with Dryad, they can also choose to add supplemental content and software or code, which we entrust to our partners at Zenodo. Our Private for Peer Review mode covers any files uploaded to Zenodo, allowing reviewers to download the data files included in the entire package of materials.
3. Get a DOI before publication. As soon as an author completes our submission process, we automatically reserve a DOI that can be included in a data availability statement. The DOI will go live when the dataset is published and will not change.
4. Control the timing of dataset publication. We won’t publish a dataset until you’re ready. The submitting author can deselect the checkbox for Private for Peer Review mode at any time through their author dashboard or email our team for help. Journals that use Dryad’s Editorial Manager or eJournalPress integrations can automate this process, ensuring that datasets move out of Private for Peer Review mode and into curation at the exact right moment in their workflow.
Making data underlying research articles available for review, and ultimately for reuse, facilitates reproducibility and the validation of results. Is your journal looking to streamline data publishing in support of reproducible research? Get in touch to learn more about how Dryad can help.
Feedback and questions are always welcome, to firstname.lastname@example.org.