2018
DOI: 10.16997/book14
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The Big Data Agenda: Data Ethics and Critical Data Studies

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Cited by 53 publications
(27 citation statements)
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“…Furthermore, working at a broad scale does not replace close reading, but it changes our engagement with the source material. Over recent years – and owing to the accessibility both of datasets and of computer packages capable of synthesising and transforming larger and more complex datasets – the number of data-intensive studies conducted has risen almost exponentially in the hard sciences, in social sciences and (to a lesser extent) in the humanities (Kaplan 2015; Richterich 2018, 1–12). Moreover, techniques have been developed to identify patterns above the ‘messiness’ or ‘background noise’ necessarily created in synthesising datasets of such magnitude (Gattiglia 2015, 2–3).…”
Section: Scale and Methodology: A Reductionist Approach?mentioning
confidence: 99%
“…Furthermore, working at a broad scale does not replace close reading, but it changes our engagement with the source material. Over recent years – and owing to the accessibility both of datasets and of computer packages capable of synthesising and transforming larger and more complex datasets – the number of data-intensive studies conducted has risen almost exponentially in the hard sciences, in social sciences and (to a lesser extent) in the humanities (Kaplan 2015; Richterich 2018, 1–12). Moreover, techniques have been developed to identify patterns above the ‘messiness’ or ‘background noise’ necessarily created in synthesising datasets of such magnitude (Gattiglia 2015, 2–3).…”
Section: Scale and Methodology: A Reductionist Approach?mentioning
confidence: 99%
“…As such, big data-driven research often depends on the controlled data access granted by the corporations involved (e.g. Google) (Richterich 2018). Moreover, access to corporate data often requires specific computational knowledge, which acts as an access barrier (boyd and Crawford 2012).…”
Section: The Use Of Apis In Transport Research: Strengths and Weaknessesmentioning
confidence: 99%
“…privacy issues, informed consent, etc.) of the provided data is difficult to address (Richterich 2018).…”
Section: The Use Of Apis In Transport Research: Strengths and Weaknessesmentioning
confidence: 99%
“…Gitelman (2013) highlights that data already carries the potential of future information. Gitelman most resonant statement is that there is no raw data (2013, 1), which becomes a crucial tenet for critical data studies (Richterich 2018). She warns that our lack of criticality allows us to ignore the fact that data is always designed, stored, collected, gathered, etc.…”
Section: On the Ubiquity Of Care Robots Data Availability And The Smentioning
confidence: 99%