The newly rediscovered frontier between data visualization and the digital humanities has proven to be an exciting field of experimentation for scholars from both disciplines. This fruitful collaboration is attracting researchers from other areas of science who may be willing to create visual analysis tools that promote humanities research in its many forms. However, as the collaboration grows in complexity, it may become intimidating for these scholars to get engaged in the discipline. To facilitate this task, we have built an introduction to visualization for the digital humanities that sits on a data-driven stance adopted by the authors. In order to construct a dataset representative of the discipline, we analyze citations from a core corpus on 300 publications in visualization for the humanities obtained from recent editions of the InfoVis Vis4DH workshop, the ADHO Digital Humanities Conference, and the specialized digital humanities journal Digital Humanities Quarterly. From here, we extract referenced works and analyze more than 1900 publications in search of citation patterns, prominent authors in the field, and other interesting insights. Finally, following the path set by other researchers in the visualization and Human–Computer Interaction (HCI) communities, we analyze paper keywords to identify significant themes and research opportunities in the field.

中文翻译：

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数字人文可视化中作者、阅读材料和技术的数据驱动介绍

数据可视化和数字人文科学之间新近重新发现的前沿已被证明是这两个学科的学者令人兴奋的实验领域。这种富有成效的合作吸引了来自其他科学领域的研究人员，他们可能愿意创建可视化分析工具，以促进多种形式的人文研究。然而，随着合作的复杂性增加，这些学者参与该学科可能会变得令人生畏。为了促进这项任务，我们建立了数字人文可视化的介绍，该介绍基于作者采用的数据驱动立场。为了构建代表学科的数据集，我们分析了从最近版本的 InfoVis Vis4DH 研讨会、ADHO 数字人文会议和专业数字人文期刊《数字人文季刊》获得的 300 篇人文可视化出版物的核心语料库中的引文。从这里，我们提取参考著作并分析 1900 多篇出版物，以寻找引文模式、该领域的杰出作者和其他有趣的见解。最后，按照可视化和人机交互 (HCI) 社区中其他研究人员设定的路径，我们分析论文关键词以确定该领域的重要主题和研究机会。我们提取参考著作并分析 1900 多篇出版物，以寻找引文模式、该领域的杰出作者和其他有趣的见解。最后，按照可视化和人机交互 (HCI) 社区中其他研究人员设定的路径，我们分析论文关键词以确定该领域的重要主题和研究机会。我们提取参考著作并分析 1900 多篇出版物，以寻找引文模式、该领域的杰出作者和其他有趣的见解。最后，按照可视化和人机交互 (HCI) 社区中其他研究人员设定的路径，我们分析论文关键词以确定该领域的重要主题和研究机会。