Talking datasets – Understanding data sensemaking behaviours

Laura Koesten; Kathleen Gregory; Paul Groth; Elena Simperl

doi:10.1016/j.ijhcs.2020.102562

Talking datasets – Understanding data sensemaking behaviours

Laura Koesten^*, Kathleen Gregory, Paul Groth, Elena Simperl

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

45 Citations (Scopus)

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Abstract

The sharing and reuse of data are seen as critical to solving the most complex problems of today. Despite this potential, relatively little attention has been paid to a key step in data reuse: the 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 from different disciplines as they summarised and interacted with both familiar and unfamiliar data. We use our findings to identify and detail common patterns of data-centric sensemaking across three clusters of activities that we present as a framework: inspecting data, engaging with content, and placing data within broader contexts. Additionally, we propose design recommendations for tools and documentation practices, which can be used to facilitate sensemaking and subsequent data reuse.

Original language	English
Article number	102562
Journal	INTERNATIONAL JOURNAL OF HUMAN COMPUTER STUDIES
Volume	146
Early online date	26 Oct 2020
DOIs	https://doi.org/10.1016/j.ijhcs.2020.102562
Publication status	Published - Feb 2021

Keywords

Data reuse
Data sharing
Human computer interaction
Human data interaction
Sensemaking

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10.1016/j.ijhcs.2020.102562Licence: CC BY

Talking datasets KOESTEN Accepted22Oct2020_Epub26Oct2020 GOLD VOR CCBYFinal published version, 2.7 MBLicence: CC BY

Cite this

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Talking datasets – Understanding data sensemaking behaviours

Abstract

Keywords

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