Figshare takes the PMC open access subset (http://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/) and breaks up the publications into the smallest level of research objects, the figures within each publication. It then semantically links these figures via categories, tags and authors. The databases are currently being seeded with the parsed OA content and will primarily offer a linked dataset of ~500,000 open access scientific figures. Figshare is built primarily using the opensource software Semantic MediaWiki (http://semantic-mediawiki.org/wiki/Semantic_MediaWiki). Semantic MediaWiki introduces some additional markup into the wiki-content which allows users to add "semantic annotations" to the wiki. These are autogenerated in FigShare. This greatly simplies the structure of the wiki, help users to find more information in less time, and improve the overall quality and consistency of the wiki. This also allows the data to be easily downloaded as RDF triples, and has a built in extensive API. The site in beta is currently available at http://figshare.com. Users can sign up to an account, or alternatively log in using several social media log-ins. All content is browsable without logging in. The title of each figure is the title of a web page. This immediately makes the individual figures more discoverable than figure titles embedded within a larger file. By linking author names on figures researchers have an auto-generated list of all of their open access published figures. A lot of time and money is being wasted by groups around the world duplicating research that has already been carried out. FigShare also allows users to upload any research objects, including datasets and videos into the databases in a very simple manner. In doing this, other researchers will not duplicate the work, but instead may publish previously wasted figures, or offer collaboration opportunities and feedback on preprint figures. This also offers a unique way to link research data in various rarely published formats. Researchers can claim their previously published OA figures by logging onto the site, allowing researchers to contact them within the site to discuss individual figures or potential collaborations. Researchers can also edit and improve the context provided with each of their figures. Each figure is immediately citeable with persistent unique identifiers in the form of handles (http://handle.net/). Each figure from a publication has autogenerated tag (keywords), which can be added to with further user generated tags and context. Using tags to link research, as well as full text search capabilities across OA journals from varying domains of science, allows users to find research that may have previously escaped their search parameters. FigShare also gives users the ability to easily share their figures, datasets and videos via a host of social media platforms through ‘share buttons’ on every page. By further analysing alternative metrics including page views, links, tweets and facebook shares, the impact of research in its smallest form can be investigated.