Small Data and Process in Data Visualization: The Radical Translations Case Study

被引：1

作者：

Ciula, Arianna ^{[1
]}

Vieira, Miguel ^{[1
]}

Ferraro, Ginestra ^{[1
]}

Ong, Tiffany ^{[1
]}

Perovic, Sanja ^{[1
]}

Mucignat, Rosa ^{[1
]}

Valmori, Niccolo ^{[1
]}

Deseure, Brecht ^{[1
]}

Mannucci, Erica Joy ^{[2
]}

机构：

[1] Kings Coll London, London, England

[2] Univ Milano Bicocca, Milan, Italy

来源：

2021 IEEE 6TH WORKSHOP ON VISUALIZATION FOR THE DIGITAL HUMANITIES (VIS4DH 2021) | 2021年

关键词：

Data visualization; Digital Humanities; Software Development Lifecycle; Design iterations;

D O I：

10.1109/VIS4DH53644.2021.00005

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

This paper uses the collaborative project Radical Translations [1] as case study to examine some of the theoretical perspectives informing the adoption and critique of data visualization in the digital humanities with applied examples in context. It showcases how data visualization is used within a King's Digital Lab project lifecycle to facilitate collaborative data exploration within the project interdisciplinary team - to support data curation and cleaning and/or to guide the design process - as well as data analysis by users external to the team. Theoretical issues around bridging the gap between approaches adopted for small and/or large-scale datasets are addressed from functional perspectives with reference to evolving data modelling and software development lifecycle approaches and workflows. While anchored to the specific context of the project under examination, some of the identified trade-offs have epistemological value beyond the specific case study iterations and its design solutions.

引用

页码：1 / 6

页数：6

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