F1000Research has published a new research from Bjorn Brembs, professor of neurogenetics at the Institute of Zoology, Universitaet 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.
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 understanding of science. With only one or two figures to choose from in the past, authors were incentivised to pick the view of the data that best demonstrated their conclusions.
Interested parties may visit http://f1000research.com/articles/3-176/v1 for the full paper.
