Data Shadows

Knowledge, Openness, and Absence

Bibliographic Data

ID5337245
AuthorsSabina Leonelli (0000-0002-7815-6609, University of Exeter, Exeter, United Kingdom, corresponding author), Brian Rappert (0000-0001-6883-531X, University of Exeter, Exeter, United Kingdom), Gail Davies (0000-0002-6811-0885, University of Exeter, Exeter, United Kingdom)
Year2017
Volume42
Issue2
Pages191-202
Publication date2017-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScience Technology & Human Values (JOURNAL)
Journal identifiersISSN: 0162-2439 • E-ISSN: 1552-8251
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0162243916687039
OpenAlexW2602449858
LanguageEN
Citations received23
References cited20

This editorial critically engages with the understanding of openness by attending to how notions of presence and absence come bundled together as part of efforts to make open. This is particularly evident in contemporary discourse around data production, dissemination, and use. We highlight how the preoccupations with making data present can be usefully analyzed and understood by tracing the related concerns around what is missing, unavailable, or invisible ("data shadows"), which unvaryingly but often implicitly accompany debates about data and openness

Data science · Epistemology · Open data · Openness to experience · Sociology · World Wide Web · Computer Science · Data Analysis and Archiving · Ethics and Social Impacts of AI · Philosophy · Psychology · Social Psychology

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