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This Zenodo item contains the Report and subsidiary resources and dataset on the results of the workshop undertaken by the authors: "Why should we care about datafication? Critical data literacies in higher education".
\n\nWorkshop Details:
\n\nThrough a hands-on Open Space conversation, facilitated via Mentimeter and Blackboard Collaborate we explored the challenges datafication poses for educators in our contemporary information ecosystem, and why all of us should care. The session tried to scaffold frameworks that offer participants a critical lens to analyse their own data literacies and explore pathways to data literacy and data activism in institutions and networks.
\n\nThe workshop was technically implemented with success, and all the interactions were undertaken without any imprevist, due to the great support given by the OER20 committee. The OER20 community got engaged with our proposal: 94 participants were visible in the chat side and actively contributing.
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\r\n", "page": "Data-driven science and data-driven education cross the daily scenarios of academic practice, and are a key dimension of the modernisation of Higher Education. This project aims at exploring the emerging issues of data literacy within the context of digital scholarship, towards the development of a conceptual and interventionist apparatus supporting scholars’ critical awareness of data practices within the context of Open Science and Open Education frameworks. To this regard, the project will embrace the construct of “learning ecologies” as lens to explore how scholars make sense of the current data-practices, the perceived learning needs, the institutional opportunities, etc. in terms of professional learning. Moreover, the construct will also set the basis to generate spaces to deal with the evolving phenomenon of the data-driven university from a critical, non-tecnodeterminist and participatory perspective. The chosen methodological approach encompasses mixed methods including three phases of research development: a first phase of desk research (including methods of data-extraction from the web and a survey); a second phase consisting of an ethnographic study; and one phase of design based research (DBR).
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