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  • “Raw Data” is an Oxymoron edited by Lisa Gitelman
  • Jan Baetens
“Raw Data” Is an Oxymoron edited by Lisa Gitelman. The MIT Press, Cambridge, MA, U.S.A., 2013. 208 pp., illus. Paper. ISBN: 9780262518284.

“Data,” literally: “what is given,” is neither an issue of our digital age, although our storage and transmission capacities are now stretching far beyond the utterly thinkable, nor a characteristic of hard or social sciences, which seem to have the privilege (or the burden) to work with this kind of “given.” Data is as strongly present in humanist disciplines as in any other ones, and the term itself as well as its frequent use is much older than the communication and information society in which it has become so ubiquitous.

The ambition of this fascinating collection of essays gathered by Lisa Gitelman (who has a strong publication record in the field of media and data studies, first as the editor of New Media, 1710–1915, second as the author of Always Already New: Media, History, and the Data of Culture, two remarkable books published by the MIT Press in 2003 and 2006, respectively), is threefold: definitional, historical and critical.

In the very first place, the contributors of the book try to define the notion of “data” as precisely as possible. On the one hand, they do so by comparing the term to the key set of notions that often appear as synonyms or quasi synonyms, such as facts, documents, information, evidence, figures, etc.: what is being highlighted in this respect is the apparent “neutrality” of data, which appears as the “raw” material of further interpretation and explanation. On the other hand, they complete this comparative approach with an attempt to also formulate a number of intrinsic properties, such as the fact that data is always networked, that it never exists in small samples, and that it is highly context- and discipline-sensitive. [End Page 303]

Second, the chronological architecture of the book immediately draws our attention to the necessity of taking into account the historicity of data, both as a theoretical and methodological concept and as a material reality. Leading us from an analysis of “data before the fact” (as goes the title of the essay by Daniel Rosenberg, who reconstructs the history of the word “data” through the OED and Google Books Ngram Viewer, the former still being much more reliable than the latter) to the ironical and self-critical “thick” description of data-collection in today’s geography and hydrography, “Raw Data” Is an Oxymoron demonstrates that data is something that changes dramatically over time, not only because we have not given the same name (data or something else) to objects, items, figures, statistics or events that we tend to consider data today, but also because the things or objects we identify as data are always anything but stable. New methods, new theories, new words, new politics, new people relentlessly force us to rethink the data we have gathered and to modify them in retrospect (if possible, of course, but we all know what scientists mean by more or less radical “data-massaging”).

Third, and here is where the English culinary metaphor comes to the fore, all authors of the book show themselves highly critical of the validity of the adjective “raw” that we routinely associate with the “data,” as if data were something neutral, non-constructed, unprepared, in a word natural. What Gitelman and her colleagues demonstrate with great profundity and wit is that there is nothing natural in data, but that, on the contrary, data can only exist if, regardless of any eventual interpretation and social use or abuse, it is first wanted, then gathered via special techniques, stored, protected against all forms of corruption, permanently updated and, more often than not, restored, reconstructed, if not remade with the help of new (but rapidly outdated) insights and procedures. Of the essential frailty of data, the book gives numerous often exhilarating, sometimes painful and shocking, but always thought-provoking examples that also show how directly any one of us is involved in the daily making, unmaking and remaking of data.

However, the strongest claim of the book is that none...

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