Storytelling with Data

Everything you always wanted to know about a dataset: Studies in data summarisation

“…However, the relation to other sources was mentioned in other categories as well, which reinforces the need for tools that make it easy for data users to explore more than one dataset in the same time and to make comparative judgements. This is also in line with experience reports about data science projects in organisations -making complex decisions often involves working with several datasets Koesten et al (2017); Erete et al (2016). Further attributes from the diaries suggest that a thorough assessment of relevance needs to include easily understandable variables, data samples for fast exploration, as well as insight into the context and purpose of the data.…”

Collaborative Practices with Structured Data

“…Existing research on data and collaboration discusses specific types of data activities, such as collaborative data creation [19,29,63]; maintenance [27]; analysis [28,41]; and visualisation [46]. In particular, the benefits of collaborative data analysis have been widely discussed in [22,28,46,66] and there are several tools that support it, including Many Eyes [62] and Tableau Public 1 . There is also some work on data sharing as a form of collaboration.…”

“…However, literature on collaborative sensemaking focuses on work with documents or textual representations of information, or does not make the distinction between documents and data. As discussed in multiple studies [14,17,22,29,30], engaging with data involves complex processes and interaction patterns, which are not yet well understood. There is added complexity due to the fact that data on its own is difficult to interpret and needs context to create meaning from it, [8,17,18] and because of the skills involved, from knowing how to handle technical formats to understanding licences and terms of use.…”

“…However, having data available does not always mean it can be used purposefully [22]. In this paper, we focus on the challenges that people face when working together on a data task, and explore how current information systems and tools support them in their work.…”

Civic Hackers User Experiences and Expectations of Seattles Open Municipal Data Program

“…Janssen et al [11] explore barriers to use, finding multiple challenges related to information quality, including problems with accuracy, completeness, and clarity. Erete et al [12] note that data collection, cleaning, management, interpretation, and dissemination of open government data is time and resource intensive for non-profit data users. Martin et al [13] find that there is no single metadata standard for open data; data users have to sort through multiple vocabularies.…”