Work

Integrating Data Directly into Publications with Augmented Reality and Web-Based Technologies – Schol-AR

Year: 2022

Type: data-paper

Abstract: Scientific research has become highly intertwined with digital information, however scientific publication remains based on the static text and figures of principal articles. This discrepancy constrains complex scientific data into 2D static figures, hindering our ability to effectively exchange the complex and extensive information that underlies modern research. Here, we demonstrate how the viewing of digital data can be directly integrated into the existing publication system through both web based and augmented reality (AR) technologies. We additionally provide a framework that makes these capabilities available to the scientific community. Ultimately, augmenting articles with data can modernize scientific communication by bridging the gap between the digital basis of present-day research and the natural limitations of printable articles.

Source: Scientific Data

DOI: 10.1038/s41597-022-01426-y

Authors: Tyler Ard, Michael S. Bienkowski, Sook-Lei Liew, Farshid Sepehrband, Lirong Yan, Arthur W. Toga

Institution: University of Southern California

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,090

Funders: Foundation for the National Institutes of Health, Michael J. Fox Foundation for Parkinson's Research