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The constant (over)flow of data and trying to make it useful

Authors: Freitag, Stefan;

The constant (over)flow of data and trying to make it useful

Abstract

During the DHCH2023 event, Peter Fornaro from the University of Basel tried to tackle this issue during his keynote «Data Science in Arts and Humanities. What is useful data?», which is briefly summarised in the following write-up.

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Keywords

Data Science, Arts, Humanities, useful data, Data Science, Arts, Humanities, useful data

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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