A FAIR repository for big datasets


Figshare has been helping researchers make their data openly available for more than 10 years. We want to offer a way to get more support for sharing larger datasets in a trusted generalist repository.



  • Publish datasets ranging from 100GB+ to 5TB or more
  • Upload files up to 5TB and include up to 5,000 files per dataset
  • Publish data and materials associated with a specific publication or research project
  • Make your data open and FAIR - open access, discoverable, and reusable
  • Data stored securely in the cloud and preserved using Figshare’s archive partner, DuraCloud and UCSD’s Chronopolis
  • Link your data to associated preprints, publications, grants, and other materials

  • Get credit for more of your work

  • Get a unique DOI for each dataset that can be cited in publications and grant reports

  • View openly tracked metrics for each dataset including views, downloads, citations, and Altmetrics

Figshare+ offers data deposit as a one-time Data Publishing Charge (DPC) to share the datasets and materials supporting a specific publication or project. Added features and expert guidance are also included for sharing your data FAIR-ly.



pricing examples


For files below 20GB, Figshare can be accessed and used for free.

Figshare+ offers data deposit for datasets ranging from 100GB+ up to 5TB or more. Pricing is based on storage in 250GB tiers ($585 per 250GB) + a review fee ($160) per deposit.

Pricing is a one-time fee, a data publishing charge, based on the amount of storage needed for the dataset being shared and also includes deposit support and dataset review. For full details, please see the applicable terms and conditions.

100GB 250GB  500GB 750GB 1TB 1.25TB
$395 $745 $1,330 $1,915 $2,500 $3,085


1.5TB 1.75TB 2TB 3TB 5TB 5TB+
$3,670 $4,255 $4,840 $7,180 $11,860 get in touch

Prices are subject to change and exclude any sales or value-added taxes.
Please refer to for further details.


Repository guidance from Springer Nature

We recommend the use of discipline-specific, community-recognized repositories where possible. Advice and guidance on what might be most appropriate for your research can be found on our Data Repository Guidance pages, and always make sure to first check the data policy of the journal you are submitting to or publishing with.