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Getting poster data...
Tyler Ard, Michael S. Bienkowski, James Stanis, Caroline O’Driscoll, Arthur W. Toga (University of Southern California, Los Angeles, USA)
Scientific research now relies heavily on digital data, yet its dissemination still primarily occurs through articles and posters limited to 2D figures and text. This discrepancy often results in the simplification of complex information into printable images that represent only a fraction of the data, typically from singular viewpoints or based on specific statistical thresholds. Consequently, conventional scientific mediums struggle to convey modern scientific data comprehensively. To address this challenge the 'Schol-AR' software framework seamlessly integrates digital information with printable media. By simply pointing a smartphone at article figures, users can access the underlying data. Additionally, for those who prefer not to use mobile devices, an online PDF viewer allows simultaneous viewing of the article and its associated digital data. This framework is inclusive and accessible to both readers and authors, and is compatible with all journals and publishers. Schol-AR articles have been published by several major publishers including Nature Publishing Group, Elsevier, Wiley, and IOP publishing. Authors can visit www.Schol-AR.io to augment their own articles.