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.

数据的共享和重用对于解决当今最复杂的问题至关重要。尽管有这种潜力，但对于数据重用的关键步骤却很少关注：以数据为中心的感官创造涉及的行为。我们的目的是通过结合来自不同学科的31名研究人员在汇总和与熟悉和不熟悉的数据进行交互时，结合深入的访谈，思考方式的任务和屏幕录像分析的混合方法研究，来解决这一差距。我们用我们的研究结果在整个活动的三个集群识别和数据中心获取意义的细节常见模式，我们提出一个框架：检查数据，从事与内容，以及配售范围更广的数据。此外，我们为工具和文档实践提出了设计建议，可用于促进意义分析和后续数据重用。