Exploration, Extraction and 'Rawification'. The Shaping of Transparency in the Back Rooms of Open Data

With the advent of open data initiatives, raw data has been staged as a crucial element of government transparency. If the consequences of such data-driven transparency have already been discussed, we still don't know much about its back rooms. What does it mean for an administration to open its data? Following information infrastructure studies, this communication aims to question the modes of existence of raw data in administrations. Drawing on an ethnography of open government data projects in several French administrations, it shows that data are not ready-at-hand resources. Indeed, three kinds of operations are conducted that progressively instantiate open data. The first one is exploration. Where are, and what are, the data within the institution are tough questions, the response to which entails organizational and technical inquiries. The second one is extraction. Data are encapsulated in databases and its release implies a sometimes complex disarticulation process. The third kind of operations is 'rawification'. It consists in a series of tasks that transforms what used to be indexical professional data into raw data. To become opened, data are (re)formatted, cleaned, ungrounded. Though largely invisible, these operations foreground specific 'frictions' that emerge during the sociotechnical shaping of transparency, even before data publication and reuses.

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Source After The Reveal. Open Questions on Closed Systems - Neil Postman Graduate Conference
Author Denis, Jérôme, Goëta, Samuel
Maintainer CCSD
Last Updated May 6, 2026, 04:22 (UTC)
Created May 6, 2026, 04:22 (UTC)
Identifier halshs-00954302
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Département Sciences économiques et sociales (SES) ; Laboratoire Traitement et Communication de l'Information (LTCI) ; Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)
coverage New York, United States
creator Denis, Jérôme
date 2014-02-28T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-01-19T00:00:00
set_spec type:COMM