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#datainterpretation

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Data isn't inherently meaningful; it requires interpretation.
Digital data must be accessible, interoperable, and openly available for scholarly research. Smartphone technology and the internet have transformed data generation. As AI evolves, humanities must engage with relevant research questions.

Read: zenodo.org/record/8226026

ZenodoThe constant (over)flow of data and trying to make it usefulDuring 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.