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Getting poster data...
Tyler Ard, Michael S. Bienkowski, James Stanis, Caroline O’Driscoll, Sook-Lei Liew, Arthur W. Toga (University of Southern California, Los Angeles, USA)
Scientific research is now based on digital data, however it is still largely communicated through articles and posters that are limited to 2D printable figures and text. This discrepancy leads to nearly all information being simplified into printable ‘representative’ images, which often discard the vast majority of data and are further limited to individual angles or statistical thresholds. As such, standard scientific mediums do not support thorough and comprehensive communication of modern scientific data. Here, we present a software framework termed ‘Schol-AR’ that directly integrates digital information and printable media by making data accessible by simply pointing a smart phone at article figures. Further, for readers who do not prefer mobile devices, an online PDF-viewer can be used to view both the article and associated digital data simultaneously. This framework is open and accessible to both readers and authors, and is compatible with all journals and publishers.