“Figshare has been helping researchers make their data publicly available for more than 10 years, over which time we have watched data sharing grow across disciplines as funders and publishers require data sharing and researchers seek to get credit for all the products of their research. While we will continue to offer figshare.com as a freely available generalist repository for the research community, we have found that there is an increasing need for sharing larger datasets as well as to have additional flexibility to describe and organize data. We also recognize the importance of open data that is not just openly accessible but that also adheres to the FAIR principles (Findable, Accessible, Interoperable, and Reusable). To address this, we want to offer a way for researchers to get more support during the data sharing process in making their data well documented so it can be discovered, reused, and ultimately have more impact.
That’s why we are introducing Figshare+ to offer support for sharing larger datasets in a trusted generalist repository.
We frequently get requests from researchers seeking to use figshare.com with a need for more storage space for their data or larger file size uploads. There are few options for researchers to share TBs of data in a FAIR way. There are also long term ongoing costs in ensuring the data persists.
Figshare+ offers data deposit as a one-time Data Publishing Charge (DPC) to share the datasets and materials supporting a specific publication or project. To be as transparent as possible, nearly all of the DPC cost goes towards covering our costs to host this data securely and redundantly in the cloud. Many funders allow data sharing costs to be included in grant budgets, so you may be able to use grants funds to pay for Figshare+ and can include it in data management and sharing plans in funding proposals.
Because we want researchers to get the most out of their open data, Figshare+ also offers additional license options and metadata compared to figshare.com. Personal email support is also provided during data deposit which includes the review of your dataset files and description by a Figshare data expert who can offer guidance on making your data as discoverable and reusable as possible….”