A Roadmap to Applied Digital Heritage

Q1 Arts and Humanities Studies in Digital Heritage Pub Date : 2019-08-15 DOI:10.14434/sdh.v3i1.27552
Laura K. Harrison
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引用次数: 3

Abstract

The recent “digital turn” in archaeology has driven methodological advances and opened new research avenues, with wide ranging impacts at multiple scales. The proliferation of methods such as 3D imaging, remote sensing, laser scanning and photogrammetry has led to the datafication of archaeology [Caraher 2016: 467, Mayer-Schönberger et al. 2013: 73]. This process is most evident in research on digital surveying, data visualization, digital archiving, mapping, and image processing, which prioritize the creation and manipulation of large digital datasets. These research avenues often generate more intellectual traffic than “slow archaeology” routes [Caraher 2016], which adopt a reflexive approach to knowledge production, embrace the inherent complexity of digital datasets, emphasize craft modes of archaeological documentation [Perry 2015], and “highlight the value of small and properly contextualized data” [Kansa 2016: 466]. Confronting the growing tension between big data and slow archaeology will be an iterative process. It will evolve as researchers and other stakeholder groups assess the value of digital approaches to preserving, communicating, and interpreting the past as it relates to the present. This special issue of Studies in Digital Heritage is the outcome of a symposium at the 2018 Society for American Archaeology (SAA) conference in Washington, D.C., entitled “Digital Heritage Technologies, Applications, and Impacts.” The articles within contribute to this dialogue by critically assessing the challenges and successes of recent digital heritage projects in museums, teaching and fieldwork contexts.
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应用数字遗产路线图
最近考古学的“数字转向”推动了方法论的进步,开辟了新的研究途径,在多个尺度上产生了广泛的影响。3D成像、遥感、激光扫描和摄影测量等方法的普及导致了考古学的数据化[Caraher 2016:467,Mayer-Schönberger等人2013:73]。这一过程在数字测量、数据可视化、数字归档、地图绘制和图像处理的研究中最为明显,这些研究优先考虑大型数字数据集的创建和操作。这些研究途径通常比“慢考古”途径产生更多的智力流量[Caraher 2016],后者采用反射性的知识生产方法,接受数字数据集固有的复杂性,强调考古文献的工艺模式[Perry 2015],并“突出小数据和适当情境化数据的价值”[Cansa 2016:466]。面对大数据和缓慢考古之间日益紧张的关系将是一个迭代的过程。随着研究人员和其他利益相关者团体评估数字方法在保存、交流和解释与现在相关的过去方面的价值,它将不断发展。本期《数字遗产研究》特刊是2018年美国考古学会(SAA)在华盛顿特区举行的题为“数字遗产技术、应用和影响”的研讨会的成果,教学和实地考察背景。
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来源期刊
Studies in Digital Heritage
Studies in Digital Heritage Arts and Humanities-Classics
CiteScore
2.80
自引率
0.00%
发文量
2
审稿时长
12 weeks
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