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  • 标题:Integrating Data Directly into Publications with Augmented Reality and Web-Based Technologies – Schol-AR
  • 本地全文:下载
  • 作者:tyler ard ; Michael S.Bienkowski ; Sook-Lei Liew
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-11
  • DOI:10.1038/s41597-022-01426-y
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:Scientifc research has become highly intertwined with digital information, however scientifc publication remains based on the static text and fgures of principal articles . This discrepancy constrains complex scientifc data into 2D static fgures, hindering our ability to efectively 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 scientifc community. Ultimately, augmenting articles with data can modernize scientifc communication by bridging the gap between the digital basis of present-day research and the natural limitations of printable articles .
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