2017
DOI: 10.1016/j.daach.2017.04.005
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A catch 22 of 3D data sustainability: Lessons in 3D archaeological data management & accessibility

Abstract: Archaeologists can now collect an inordinate amount of 3D data. But are these 3D data sustainable? Are they being managed to make them accessible? The MayaArch3D Project researched and addressed these questions by applying best practices to build four prototype tools to store, manage, visualize, and analyze multiresolution, geo-referenced 3D models in a web-based environment. While the technical aspects of these tools have been published, this position paper addresses a catch 22 that we, as archaeologists, enc… Show more

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Cited by 27 publications
(21 citation statements)
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References 39 publications
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“…22 In exploring the concept of data sustainability and accessibility, the MayaArch3D project, which built a 3D virtual environment for analyzing archaeological data, 23 encountered four key issues with regard to 3D data: data security/sensitivity; web-based dissemination; conveying uncertainty; and data storage, reuse, and peer review. 24 In their project, security is addressed by providing different levels of user access with sensitive location-based data protected with additional restrictions. To address web-based dissemination challenges (such as high data transfer rates required for high resolution data types), the project made use of JavaScript libraries and JSON file formats to provide lightweight online access to massive amounts of data.…”
Section: Literature Reviewmentioning
confidence: 99%
“…22 In exploring the concept of data sustainability and accessibility, the MayaArch3D project, which built a 3D virtual environment for analyzing archaeological data, 23 encountered four key issues with regard to 3D data: data security/sensitivity; web-based dissemination; conveying uncertainty; and data storage, reuse, and peer review. 24 In their project, security is addressed by providing different levels of user access with sensitive location-based data protected with additional restrictions. To address web-based dissemination challenges (such as high data transfer rates required for high resolution data types), the project made use of JavaScript libraries and JSON file formats to provide lightweight online access to massive amounts of data.…”
Section: Literature Reviewmentioning
confidence: 99%
“…3D surveying collects raw data of extant archaeological features x, y and z points, but most archaeological data are not delivered as raw data (i.e. original survey data), but rather have been transformed into post‐processed data for various purposes via 3D modelling (Richards‐Rissetto and von Schwerin ).…”
Section: Ethics Of Data Management: An Anthropological Archaeology Pementioning
confidence: 99%
“…If we can ensure digital data longevity, is it ethical to have all this information digitally available in this day and age when looting for profit and vandalism for idle and ideological reasons is so high? Most of the publications cited throughout this section raise logistical and ethical questions at one level or another as relevant to their particular case study (for extended discussion of these issues, see Ashley, Tringham, and Perlingieri ; Katz and Tokovinine ; Richards‐Rissetto and von Schwerin 2017).…”
Section: Grappling With the Digitalmentioning
confidence: 99%