New figshare widget to provide easy access to previews of data files on F1000 Research

Posted by Rebecca Lawrence, 10 July 2012

We’re delighted to announce that F1000 Research and figshare have teamed up to build a widget for F1000 Research articles that enables users to preview, download, cite and share data in accompanying datasets, at the click of a button. You will be able to see this new tool for the first time in some of our first articles on F1000 Research in the coming week.

The new figshare widget provides a much more accessible way of publishing datasets within articles than the usual URL or DOI. This enables readers to preview all the available data whilst still in the article, before deciding whether to download the data itself.

The widget supports a wide range of data file formats (including video and audio files), and enables readers to view and download many non-traditional data files in a ‘friendly’ format, even if they don’t have the viewer for the original file format.

In addition, users can cite the data, share it on social media sites and view metrics, such as number of social media shares and cumulative use, providing information on how others are using the data.

Commenting on our new partnership, Mark Hahnel, founder of figshare, said: ‘The way scientific results are being recorded and analyzed is changing at a rate that has long outdated the current publishing process. By offering researchers a medium they are familiar with – say, an F1000 Research article – with data they can visualize and easily access, we’ll be one step closer to a more integrated reading and research environment.’

As mentioned in the blog yesterday, we will be publishing our first few articles over the next couple of days so watch this space to see the new widget in action!



F1000Research is an original open science publishing platform for life scientists that offers immediate open access publication, transparent post-publication peer review by invited referees, and full data deposition and sharing. F1000Research accepts all scientifically sound articles, including single findings, case reports, protocols, replications, null/negative results, and more traditional articles.

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