About Making Dark Data FAIR

The aim of the Making Dark Data FAIR project is to investigate both the epistemic and ethical implications of so-called dark data (i.e., data which is non-reusable by relevant researchers). In particular, we focus on how the FAIR principles regarding data management (Wilkinson, et al. 2016) can be suitably augmented so as to avoid the proliferation of dark data.


As part of the project, we are running a series of three workshops, focusing on a broad range of philosophical issues raised by the practices involved in the practice of modern science (for example, from the usage of big data, to the role of AI scientific investigation).


The project is generously funded by the EOSC. 

Principle Investigator: Juan Manuel Durán

Postdoctoral Researcher: Jack J Casey