Talking datasets - Understanding data sensemaking behaviours
Talking datasets - Understanding data sensemaking behaviours
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DOI：
10.1016/j.ijhcs.2020.102562
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发表时间：
2021-02-01
影响因子：
5.4
通讯作者：
Simperl, Elena
中科院分区：
文献类型：
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作者：
Koesten, Laura;Gregory, Kathleen;Simperl, Elena
数据的共享和重用被认为对于解决当今最复杂的问题至关重要。尽管有这种潜力，但人们对数据重用的关键步骤的关注相对较少：以数据为中心的意义建构所涉及的行为。我们的目标是通过提出一项混合方法研究来解决这一差距，该研究结合了深度访谈、有声思考任务和屏幕记录分析，来自不同学科的 31 位研究人员总结了熟悉和不熟悉的数据并与之互动。我们利用我们的发现来识别和详细描述以数据为中心的意义建构的常见模式，这些模式以我们作为框架呈现的三组活动为基础：检查数据、参与内容以及将数据置于更广泛的背景下。此外，我们还提出了工具和文档实践的设计建议，可用于促进意义建构和后续数据重用。
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 datacentric 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.