A Map for Big Data Research in Digital Humanities
A Map for Big Data Research in Digital Humanities
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数字人文大数据研究地图
DOI：
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发表时间：
2015
影响因子：
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通讯作者：
F. Kaplan
中科院分区：
文献类型：
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作者：
F. Kaplan
本文试图将数字人文领域的大数据研究作为一个结构化的研究领域。提出了三个同心研究领域的划分。第一个循环中的挑战-侧重于大型文化数据集的处理和解释-可以按照数据处理管道线性组织。第二个循环中的挑战--关于整个数字文化--可以围绕着连接大规模数据集、大型社区、集体话语、全球参与者和软件媒介的不同关系来构建。第三个循环中的挑战-处理大数据的体验-可以在围绕三个极点组织的可能接口的连续空间中描述：沉浸，抽象和语言。通过识别所有这些领域的研究挑战，本文说明了这种初始制图如何有助于组织对大数据数字人文研究各个维度的探索。
This article is an attempt to represent Big Data research in digital humanities as a structured research field. A division in three concentric areas of study is presented. Challenges in the first circle – focusing on the processing and interpretations of large cultural datasets – can be organized linearly following the data processing pipeline. Challenges in the second circle – concerning digital culture at large – can be structured around the different relations linking massive datasets, large communities, collective discourses, global actors, and the software medium. Challenges in the third circle – dealing with the experience of big data – can be described within a continuous space of possible interfaces organized around three poles: immersion, abstraction, and language. By identifying research challenges in all these domains, the article illustrates how this initial cartography could be helpful to organize the exploration of the various dimensions of Big Data Digital Humanities research.