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In this unit, we explore the concept of data justice and the different interpretations of the idea. That is, we consider the different approaches to data justice, looking at their benefits and pitfalls. We then focus on Taylor’s (2017) framework for data technologies’ design and governance. The framework is a capability (Sen, 2009) and freedom-based approach that examines how data technologies influence the kind of lives that people deem valuable to live. As a complement to the notion of data justice, which is mainly a conceptual one, data feminism, the data ethics canvas, and the seven inequities held in power are going to be described as actionable analytical tools to address issues of data justice when working with research in the classroom. We believe that with this module the mechanisms of negotiability and agency so much needed to be able to interact in data-driven systems can be improved.
Data literacy, Critical data studies, Critical data literacy, Open Data;, Data justice
Data literacy, Critical data studies, Critical data literacy, Open Data;, Data justice
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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