Expanding on my PhD work, I pursue the empirically grounded hypothesis that data is not something given but rather something made.
Although the word "data" etymologically refers to what is given (from the Latin
dare), in practice data is constructed.
Data emerges as facts —
factum in Latin, meaning "something done"—underscoring that the production of facts is an active, performative process.
Fact-making is, indeed, a central concern in STS, where we scrutinize the processes behind what is taken as given.
My research specifically examines how practices of preparing, configuring, and generating data are deeply entangled with efforts to render these practices transparent and accountable.
In exploring digital accountability, I focus on how socio-technical infrastructures shape both the capacity to respond – what I term "response-abilities" – and the limitations imposed on such capacities.
Metadata and other attempts to translate context into a machine-calculable state lose the situatedness and uncertainties of translating environmental relations into data.
[...] datasets are uncertain and not fully specified/specifiable, their reuse and combination increases fuzziness, decreasing controllability;
uncertainties are not likely to decrease with Big Data analyses but to multiply (Lippert, 2016: 11)