Expanding on my PhD work, I continue to follow the empirically grounded hypothesis that data is not given but made.
Etymologically "data" refers to the given (from Latin dare, the given). However data is not given but, rather, made.
Data emerges as facts (etymologically, factum, in Latin, something done). Doing data means facts.
And fact-making is a central object of STS.
I specifically focus on how practices of preparing, configuring and achieving data are entangled with rendering these practices transparent and accountable.
My take on practices and abilities of accounting digitally attends simultaneously to how abilities to respond, response-abilities, are configured, enabled and constrained in socio-technical infrastructures.
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)