Exhibiting Uncertainty: Visualizing Data Quality Indicators for Cultural Collections

Exhibiting Uncertainty: Visualizing Data Quality Indicators for Cultural Collections

Uncertainty is a standard condition under which large parts of art-historical and curatorial knowledge creation and communication are operating. In contrast to standard levels of data quality in non-historical research domains, historical object and knowledge collections contain substantial amounts...

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Bibliographic Details
Main Authors: Florian Windhager, Saminu Salisu, Eva Mayr
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Informatics
Subjects:
cultural collections
data quality
uncertainty
visualization
graphs
maps
sets
time-oriented data
cognition support
digital humanities
Online Access:https://www.mdpi.com/2227-9709/6/3/29

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https://www.mdpi.com/2227-9709/6/3/29

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