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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish (US)
Article number298
JournalScientific Data
Volume9
Issue number1
DOIs
StatePublished - Dec 2022

Funding

Support for this work was provided by the National Institutes of Health (grants P41EB015922, U54EB020406, R01NS115845, and R25HD105583) and by the Michael J. Fox Foundation’s Parkinson’s Progression Markers Initiative (PPMI – award # 8283.03).

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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