On Epistemic Comparability and Challenges on Data Reuse: The Experience of READ-IT

Antonini, Alessio (2022). On Epistemic Comparability and Challenges on Data Reuse: The Experience of READ-IT. In: DH2022 book of abstracts, 25-29 Jul 2022, Japan.

Abstract

The EU JPI Reading Europe Advanced-Data Investigation Tools (READ-IT) project (https://readit-project.eu) proposed a novel approach to a pan-European research agenda on reading based on shared tools and data interoperability "by design" (Our-Vial & Antonini, 2021). These tools were developed in parallel with and support a wide diverse range of case studies (Vignale et al, 2019). The toolkit includes a) the Reading Experience Ontology (REO) (Vignale et al, 2020; Antonini et al, 2021), b) the text-annotation tool (https://read-it.hum.uu.nl) and c) the platform for managing reading testimonies (https://read-it.in-two.com). However, while reflecting on using the data at scale, a gap in the models emerged concerning the epistemology of sources, i.e. the conditions about testimonies of reading were generated. This contribution reports on this gap, its implications for future visions for research interoperability and our approach to address it.

Viewing alternatives

Item Actions

Export

You can export this page using these formats