Dunham's Data: Katherine Dunham and Digital Methods for Dance Historical Inquiry, Personnel Check-In, 1947-1960

The Check-In Dataset is the second public-use dataset in the Dunham's Data series, a unique data collection created by Kate Elswit (Royal Central School of Speech and Drama, University of London) and Harmony Bench (The Ohio State University) to explore questions and problems that make the analysis and visualization of data meaningful for dance history through the case study of choreographer Katherine Dunham. The Check-In Dataset accounts for the comings and goings of Dunham's nearly 200 dancers, drummers, and singers and discerns who among them were working in the studio and theatre together over the fourteen years from 1947 to 1960. As with the Everyday Itinerary Dataset, the first public-use dataset from Dunham's Data, data on check-ins come from scattered sources. Due to information available, it has a greater level of ambiguity as many dates are approximated in order to achieve accurate chronological sequence. By showing who shared time and space together, the Check-In Dataset can be used to trace potential lines of transmission of embodied knowledge within and beyond the Dunham Company. Dunham's Data: Digital Methods for Dance Historical Inquiry is funded by the United Kingdom Arts and Humanities Research Council (AHRC AH/R012989/1, 2018-2022) and is part of a larger suite of ongoing digital collaborations by Bench and Elswit, Movement on the Move. The Dunham's Data team also includes digital humanities postdoctoral research assistant Antonio Jiménez-Mavillard and dance history postdoctoral research assistants Takiyah Nur Amin and Tia-Monique Uzor. For more information about Dunham's Data, please see the Dunham's Data website. Also, visit the Dunham's Data research blog to view the interactive visualizations based on the Dunham's Data.

《签到数据集（Check-In Dataset）》是邓纳姆数据（Dunham's Data）系列的第二份公开可用数据集，该系列由伦敦大学皇家中央演讲与戏剧学院的凯特·埃尔思威特（Kate Elswit）与俄亥俄州立大学的哈莫尼·本奇（Harmony Bench）打造，旨在以编舞家凯瑟琳·邓纳姆（Katherine Dunham）为案例研究对象，探索能够让数据分析与可视化为舞蹈史研究赋予研究价值的各类问题与课题。该数据集记录了邓纳姆团队近200名舞者、鼓手与歌手的出勤与行踪，并梳理出1947年至1960年这14年间，哪些成员曾共同在工作室与剧院参与工作。如同邓纳姆数据系列的首份公开数据集《日常行程数据集（Everyday Itinerary Dataset）》一般，签到数据集的相关数据均来自零散的史料来源。受制于现有史料的完整性，由于诸多日期均需通过估算以还原准确的时间序列，因此该数据集存在更高程度的模糊性。通过呈现哪些成员曾共享时空，签到数据集可用于追溯邓纳姆舞团内部乃至外部的具身知识潜在传播路径。《邓纳姆数据：舞蹈史研究的数字化方法（Dunham's Data: Digital Methods for Dance Historical Inquiry）》由英国艺术与人文研究委员会（Arts and Humanities Research Council，缩写AHRC，项目编号AH/R012989/1，资助周期2018-2022年）资助，同时也是本奇与埃尔思威特正在推进的大型数字化合作项目《动态中的运动（Movement on the Move）》的组成部分。邓纳姆数据团队还包括数字人文方向博士后研究助理安东尼奥·希门尼斯-马维拉尔德（Antonio Jiménez-Mavillard），以及舞蹈史方向博士后研究助理塔基娅·努尔·阿明（Takiyah Nur Amin）与蒂亚-莫尼克·乌泽尔（Tia-Monique Uzor）。如需了解邓纳姆数据的更多信息，请访问邓纳姆数据官方网站；此外，您还可访问邓纳姆数据研究博客，查看基于该数据集打造的交互式可视化作品。