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

Arianna Ciula, Miguel Vieira, Ginestra Ferraro, Tiffany Ong, Sanja Perovic, Rosa Mucignat, Niccolo Valmori, Brecht Deseure, Erica Joy Mannucci

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

2 Citations (Scopus)

Abstract

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- A s 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.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 6th Workshop on Visualization for the Digital Humanities, VIS4DH 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781665413701
DOIs
Publication statusPublished - 2021
Event6th IEEE Workshop on Visualization for the Digital Humanities, VIS4DH 2021 - Virtual, Online, United States
Duration: 25 Oct 2021 → …

Publication series

NameProceedings - 2021 IEEE 6th Workshop on Visualization for the Digital Humanities, VIS4DH 2021

Conference

Conference6th IEEE Workshop on Visualization for the Digital Humanities, VIS4DH 2021
Country/TerritoryUnited States
CityVirtual, Online
Period25/10/2021 → …

Keywords

  • Applied computing: Arts Humanities
  • Computing methodologies: Modeling and simulation
  • Data visualization
  • Design iterations
  • Digital Humanities
  • Human-centered computing: Visualization
  • Software and its engineering
  • Software Development Lifecycle

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