Data universalism is an epistemological framework that assumes a single universal narrative of any dataset without any consideration of geographical borders and social contexts. This assumption is enabled by a generalized approach in data collection. Data are used in universal endeavours across social, political, and physical sciences unrestricted from their local source and people. Data are gathered and transformed into a mutual understanding of knowing the world which forms theories of knowledge. One of many fields of critical data studies explores the geologies and histories of data by investigating data assemblages and tracing data lineage which unfolds data histories and geographies (p. 35). This reveals intersections of data politics, praxes, and powers at play which challenges data universalism as a misguided concept.
Theoretical framework
Data are mainly sampled in rich Western countries which are considered the leaders and voices of technological developments while ignoring cultures, communities, and geographies despite its application being widespread. As the data lifecycle grows, processed small data that
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Source: Wikipedia
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