Data extraction and algorithmic manipulation have become increasingly frequent across the globe -hence the expression "datafied society". Initially perceived as an opportunity to innovate in several areas of human knowledge (Stephen-Davidowitz, 2017), data practices had unthinkable impacts. Race, gender and other vulnerable characteristics were made invisible, overrepresented and over-tracked by certain forms of data visualisation (Ricaurte, 2019). Automations based on machine learning have entailed perilous biases in the way they represent or neglect relevant cultural perspectives (Malik, 2020). Moreover, they have led to biases and users' lack of agency or even harm (Eubanks, 2018;O'Neil, 2016). In education, research has also highlighted forms of surveillance on children, teenagers and young adults with the aim of addressing their behaviours, emotions and cognition (Chi, Jeng, Acker, & Bowler, 2018;Lupton & Williamson, 2017;Prinsloo, 2020). The "platformisation" of learning and the monetisation of students' data are also pressing issues in the educational agenda. These problems were magnified by the intense and unprecedented use of digital technologies during the pandemic (Perrotta, Gulson, Williamson, & Witzenberger, 2020;Williamson, Eynon, & Potter, 2020).Against this backdrop, an activist counterculture emerged (Baack, 2015) in which participants aim to uncover how surveillance is redistributing power through the participatory appropriation of data (Lehtiniemi & Ruckenstein, 2019). Expressions of this movement have manifest through the Open Government Data and Open Science (Lehtiniemi & Ruckenstein, 2019), as well as with independent collectives reacting to the oppression of surveillance, including forms of disconnection and "hacking" the system (Pybus, Coté, & Blanke, 2015). Overall, data activists' search for recognition, awareness, redistribution of symbolic and material power aims at emancipation. As Milan and van der Velden (2016) argue, data circulates generating imaginaries, discourses and practices, which they refer to as "data epistemologies". Despite the universal circulation of metrics and quantification, the concept of data epistemology spots the contextual and diversified nature of data practices in response or reaction to datafication. According to these same authors, the activists that search for data appropriation to express diversity and empowerment embrace a proactive data epistemology . Instead, the activists whose goal is to uncover injustice and condemn malpractice stick to a reactive data epistemology. In each case, the quest for equal representation, voice and self-determination leads to an ideal known as fair data culture The term "epistemology" refers too widely to a theory of knowledge in the context of philosophy, though it is apparently used "lato sensu" by Milan and van der Velden. From an