2018
DOI: 10.15184/aqy.2018.32
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The Digital Index of North American Archaeology: networking government data to navigate an uncertain future for the past

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Cited by 20 publications
(17 citation statements)
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“…But, in this case, we would be asking, “How well are we protecting cultural resources?” Archaeological sites and information should be a foundational element of any GAP-like cultural resource program. Programs such as the Digital Index of North American Archaeology could offer critical potential for starting such a program quickly (Kansa et al 2018).…”
Section: Discussionmentioning
confidence: 99%
“…But, in this case, we would be asking, “How well are we protecting cultural resources?” Archaeological sites and information should be a foundational element of any GAP-like cultural resource program. Programs such as the Digital Index of North American Archaeology could offer critical potential for starting such a program quickly (Kansa et al 2018).…”
Section: Discussionmentioning
confidence: 99%
“…There are solutions to this growing problem of inequality. First, we must prioritize data sharing and open-access repositories for datasets, code, protocols, and other workflows needed to develop and replicate computational algorithms [6,[76][77][78]. While becoming more commonplace, many researchers still do not make their datasets or code/workflows available in publications or other publicized platforms for other researchers to use and build upon.…”
Section: Potential Solutions To the Global Divide In Machine Intelligmentioning
confidence: 99%
“…Recent efforts at building large, interoperable databases are under way to make CRM project results more broadly accessible and usable. The Digital Index of North American Archaeology, for example, integrates multiple state databases into a single system and allows them to "talk" to each other by standardizing typological systems and terminology through a process called ontological matching (Kansa et al 2018). In the American Southwest, multiple thematic databases integrate data from numerous CRM and academic studies in support of landscape-level synthetic research.…”
Section: Archaeological Modeling and Synthesismentioning
confidence: 99%