Talking datasets – Understanding data sensemaking behaviours

TY - JOUR

T1 - Talking datasets – Understanding data sensemaking behaviours

AU - Gregory, Kathleen

AU - Koesten, Laura

AU - Groth, Paul

AU - Simperl, Elena

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

U2 - 10.1016/j.ijhcs.2020.102562

DO - 10.1016/j.ijhcs.2020.102562

M3 - Article

VL - 146

JO - International Journal of Human-Computer Studies

JF - International Journal of Human-Computer Studies

IS - 102562

ER -