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F1000Research Brings Static Research Figures to Life

Dynamically-Generated Images Let Referees and Readers Assess Paper Results 'On-the-fly'

LONDON, UNITED KINGDOM -- (Marketwired) -- 07/30/14 -- F1000Research today published new research from Bjorn Brembs, Professor of Neurogenetics at the Institute of Zoology, Universitat Regensburg in Germany, with a proof-of-concept figure allowing readers and reviewers to run the underlying code within the online article. This represents an important leap forward for scientific publishing, by demonstrating a completely novel framework for assessing the quality of a scholarly output.

Figure 3 in fact doesn't really exist. The authors submitted their data and their code to F1000Research, and the figure is generated 'on the fly' when the article is viewed. Readers can select the appropriate parameter to run the code and alter the figure that is generated. The ability to adjust how data is plotted enables readers to evaluate the data for themselves, bringing scientific figures into the Internet age alongside article versioning, replication and complete transparency in the publishing process. "Ultimately, our goal is to set everything up such that we only need to submit our text with links to data and code, without ever having to fiddle with figures anymore", said Brembs.

Brembs' work suggests that naturally arising genomic differences between different stocks of the widely used animal model Drosophila melanogaster could profoundly impact on subsequent comparisons between nominally identical fly stocks. The paper additionally includes a call for participation to other laboratories and research groups to contribute to a second proof-of-concept figure that is slated to be added to a future update of the current article. Figure 4 will enable multiple laboratories to feed in behavioral data from their local experimental setup into a single 'living' figure. The data will be generated 'on the fly' as each data stream is updated and fed into the figure. Thus readers will be able to see the evolution of the behavior of several fly strains over time.

The recent rise in retraction rates of scientific articles proves that attempts at reproducibility by other labs are crucial to cross-checking our understanding of science. With only one or two figures to choose from in the past, authors were incentivized to pick the view of the data that best demonstrated their conclusions. "The traditional method of publishing still used by most journals today means that as a referee or reader, the data cannot be reused nor can the analysis be checked to see if all agree with the reported conclusions", said Brembs. "This slows down scientific discovery. We are pleased to be able to pioneer these two interactive figures with F1000Research, which will hopefully be the start of a big shift in the way journals treat their figures."

"The peer-reviewed journal article has been the currency of science since the 1600s, yet the pace of science publishing has amazingly not changed much", said Dr Rebecca Lawrence, Managing Director F1000Research. "We are building on our core principles of almost immediate publication, transparent refereeing and open data. We have already been the first scientific journal to enable articles to be continually updated, together with their associated data and software; now we are continuing this development for figures, enabling scientific articles to better mirror the continuous pace of scientific discovery."

For the full paper, please visit http://f1000research.com/articles/3-176/v1.

About F1000Research

F1000Research is an original open science journal for life scientists that offers immediate open access publication, transparent post-publication peer review by invited referees, and full data deposition and sharing. The journal accepts all scientifically sound articles, including single findings, case reports, protocols, replications, null/negative results, and more traditional articles. F1000Research is published by UK-based Faculty of 1000 (F1000) and has offices in London and New York.

To find out more about F1000Research, please contact Eleanor Howell on +44 (0)20 7631 9129 or email [email protected]. For more information, visit http://f1000research.com.

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