From the Dryad Blog:
We are proud to announce the launch of our new Dryad platform and we are excited to share with the research community the enhancements that we have made!
Dryad’s newest features are centered around making data publishing as easy as possible for researchers:
- In addition to supporting datasets as part of a journal submission, Dryad now also supports datasets being submitted independently
- Data can be uploaded from cloud storage or lab servers
- Datasets can be as large as 300GB
- Datasets can easily be updated or versioned at any time in our process
- Standardized data usage and citation statistics are updated and displayed for each published dataset
- Data can be submitted and downloaded through our new REST APIs
The new Dryad platform is just the beginning for our roadmap to make data publishing both robust and seamless. We have already started building integrations with publishing platforms such as Editorial Manager, ScholarOne, and PubSweet that will enable more journals to integrate with Dryad at the point of article submission.
We will also be working with data analysis and computing spaces like Jupyter, Binder, WholeTale, and rOpenSci to allow for published datasets to be usable within researcher workspaces. To further ensure discoverability of datasets, we are also working with PubMed to allow for Dryad datasets related to articles to be searchable. As we announced earlier this year, we will be building on our partnership with Zenodo that makes software and data publishing a more connected and easy process for both researchers and publishers.