The Findable principle is about making sure that data is stored with a persistent identifier, well described with rich metadata and indexed in as many relevant searchable resources as appropriate. This allows data to always be able to be found by a single URL despite and changes or migrations and promotes its discovery across multiple platforms.

  • All data are assigned a Datacite DOI which can be custom branded with the publisher’s name aiding discoverability in citation explorers
  • All data are described with rich metadata with schemas that can be customised to the specific needs of each journal
  • All data in Figshare is indexed by major search engines, Google Dataset Search, as well as a number of community and national data registers


The Accessible principle ensures data can be accessed via standard non-proprietary protocols and metadata is stored in perpetuity. This allows the simple access of data now and future proofs the provenance of data in the event that it can’t be stored long term due to storage limitations.

  • All data on Figshare can be retrieved by their identifier using a standardised communication protocol
  • Publisher portals are accessible via https and all data can be viewed in a web browser or can be accessed in bulk via the API
  • No sign up or account is required to view data 
  • No data will ever be behind a paywall
  • Figshare support a variety of cases where data can’t be made publicly available for privacy or commercial sensitivity concerns, but metadata is still published
  • Figshare can integrate with a number of long term preservation systems


The interoperable principle promotes the use of formal, accessible, shared and broadly accepted language for knowledge representation. This allows meta(data) to be accessed and retrieved in a number of different formats and promotes the free flow of data between systems. 

  • (Meta)data on Figshare is represented in a number of languages including but not limited to html, JSON-LD,, OAI-PMH interface, Dublin core, Datacite XML, RDF and VIVO
  • Metadata schemas on Figshare can be customised to use vocabularies that follow the FAIR principles
  • All Figshare items can be linked to the peer reviewed publication as well as citing any datasets used in the creation of the supporting data


The Reusable principle encourages researchers to upload (meta)data richly described to the domain-relevant community standards. This should provide enough context to allow a peer to understand, reproduce and build on top of the original work. 

  • All meta(data) on Figshare have a clear and accessible usage license
  • The Figshare metadata schema can be extended to meet community standards
  • The Figshare review functionality can be used to check files for detailed provenance before publication

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