Skip to main content
Dryad logo

Submission Process

Before you begin, we recommend reviewing our best practices for creating FAIR data publications or if you're in a hurry, our quickstart guide to data sharing.

General reminders and suggestions for publishing your data with Dryad:

Dryad has a REST API that allows for download and submission of data. Check out our documentation as well as our How-To Guide.

If you need further assistance, consult our FAQ or contact us at Log in and go to "My Datasets" to begin your data submission now!

View more information about:


Dryad requires an ORCID ID for login. If you do not have an ORCID, you will have the opportunity to create a free, unique, identifier for yourself at the login page. Dryad uses ORCID so that we can authenticate and identify each individual researcher regardless of your route of entry to Dryad (i.e. through the website, through the API, through a journal integration, etc.). When datasets are published, they should appear in your ORCID profile along with articles and other works.

For institutional members, we require a second form of authentication at login for campus single-sign-on. After you have logged in with your institutional credentials, Dryad ties together your ORCID and institutional affiliation so that you will not have to include this information a second time.


Comprehensive data documentation (i.e. metadata) is the key to future understanding of data. Without a thorough description of the data file, the context in which the data were collected, the measurements that were made, and the quality of the data, it is unlikely that the data can be easily discovered, understood, or effectively used.

Metadata is important not only to help people understand and make proper use of a data resource, but also to make the resource discoverable (for example, through internet searches or data indexing services). Read more about metadata in the DataONE Primer on Data Management Best Practices (PDF).

A complete list of our default metadata fields is below. Additional metadata can be uploaded alongside the dataset (e.g., as a readme.txt file). Our default metadata entry form is based on fields from the metadata schema of the DOI issuing agency, DataCite.

Required fields:

Optional fields (the more you describe your dataset, the wider the reach):

Upload Methods

We have two different options for uploading your data.

Please note that you may only use one of these two upload methods per version, but you may do subsequent versions of your data publication and utilize different methods of upload this way.

Private for Peer Review

On page three of the submission process, we offer the option to make the dataset private during a related article's peer review process. After selecting this option, you will be presented with a private, randomized URL that allows for a double-blind download of the dataset. This link can be used at the journal office during the review office or for sharing with collaborators to access the data files while the dataset is not public. Authors can write in when the related article has been accepted for the dataset to move into the curation and publication processes.


Dryad has a team of curators who check every submission to ensure the validity of files and metadata. Once your data is submitted, Dryad curators perform basic checks. As an author, you can review these for your dataset. Assuring that your dataset meets all of our requirements will ensure that the curation process is as efficient and timely as possible.

If Dryad curators identify questions, problems, or areas for improvement, they will contact you directly via the email address associated with your submission. You may contact the curation team for questions or consultations at

Upon curator approval, the Dryad DOI is published and, if applicable, the Data Publishing Charge is invoiced.

What is data curation? Data curators review and enrich research data to help make it Findable, Accessible, Interoperable, and Reusable (FAIR). According to the Data Curation Network (of which Dryad is a partner), Data curation enables data discovery and retrieval, maintains data quality, adds value, and provides for re-use over time through activities including authentication, archiving, metadata creation, digital preservation, and transformation.

Publication and Citation