Talking datasets: Understanding data sensemaking behaviours
November 20, 2019 Β· Declared Dead Β· π Int. J. Hum. Comput. Stud.
"No code URL or promise found in abstract"
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Authors
Laura Koesten, Kathleen Gregory, Paul Groth, Elena Simperl
arXiv ID
1911.09041
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.DL
Citations
71
Venue
Int. J. Hum. Comput. Stud.
Last Checked
3 months ago
Abstract
The sharing and reuse of data are seen as critical to solving the most complex problems of today. Despite this potential, relatively little is known about a key step in data reuse: people's behaviours involved in data-centric sensemaking. We aim to address this gap by presenting a mixed-methods study combining in-depth interviews, a think-aloud task and a screen recording analysis with 31 researchers as they summarised and interacted with both familiar and unfamiliar data. We use our findings to identify and detail common activity patterns and necessary data attributes across three clusters of sensemaking activities: inspecting data, engaging with content, and placing data within broader contexts. We conclude by proposing design recommendations for tools and documentation practices which can be used to facilitate sensemaking and subsequent data reuse.
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