Educational systems today are awash in data, but there isn't yet a good way to document and discuss how data is used. To address that, this paper offers a framework based on the concept of the 'data journey' in such environments (to my way of thinking, akin to a 'data workflow'). The framework is based on four "key dynamics of educational data journeys: the interrelationship between data work, power, identities, and literacies." It then describes the 'journey' of Australian National Assessment Program, Literacy and Numeracy (NAPLAN) data as involving stages of production, processing and distribution. Very clear, and well worth reading, but be sure to compare this work with similar work in other contexts: machine learning operations (MLOps), big data analytics (figure 1), and statistical analyses (figure 3).
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