Introduction

Gitelman, Claudia

doi:10.5744/florida/9780813040257.003.0001

Cited by 4 publications

(5 citation statements)

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“…In other words, “‘data’ is not a neutral resource reflecting what is ‘given’ but something that is both shaped and, in turn, does the shaping” (Austin, 2022, p. 304). In the famous words of Bowker, “raw data is both an oxymoron and a bad idea; to the contrary, data should be cooked with care” (Bowker, 2005, p. 184; Gitelman & Jackson, 2013).…”

Section: Surveillance As An Information Problemmentioning

confidence: 99%

Surveillance as information practice

Newell

2023

Asso for Info Science & Tech

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Surveillance, as a concept and social practice, is inextricably linked to information. It is, at its core, about information extraction and analysis conducted for some regulatory purpose. Yet, information science research only sporadically leverages surveillance studies scholarship, and we see a lack of sustained and focused attention to surveillance as an object of research within the domains of information behavior and social informatics. Surveillance, as a range of contextual and culturally based social practices defined by their connections to information seeking and use, should be framed as information practice—as that term is used within information behavior scholarship. Similarly, manifestations of surveillance in society are frequently perfect examples of information and communications technologies situated within everyday social and organizational structures—the very focus of social informatics research. The technological infrastructures and material artifacts of surveillance practice—surveillance technologies—can also be viewed as information tools. Framing surveillance as information practice and conceptualizing surveillance technologies as socially and contextually situated information tools can provide space for new avenues of research within the information sciences, especially within information disciplines that focus their attention on the social aspects of information and information technologies in society.

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Section: Surveillance As An Information Problemmentioning

confidence: 99%

Surveillance as information practice

Newell

2023

Asso for Info Science & Tech

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“…Fundamental questions regarding data ownership and rights exacerbate the challenges of agency and accountability (Aragon et al, 2016;K. Davis & Patterson, 2012;Gitelman & Jackson, 2013). Policymakers deferred to physical property-based legal traditions, but these fail to accommodate data trace-or data sharing-based concerns (Fiesler & Brubaker, 2016).…”

Section: Ownership Rights and Privacymentioning

confidence: 99%

Data Flourishing: Developing Human‐Centered Data Science through Communities of Ethical Practice

Poole

2023

Proceedings of the Association for Information Science and Tech

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Data Science is a burgeoning area in the iField. But Data Science practices have far outstripped the field's ethical safeguards. We argue that Data Science graduate education programs must address this critical problem. In this theoretical and conceptual paper, we posit an ordinary macroethics that we call data flourishing. We contend that this macroethics is most appropriately developed through a holistic, human‐centered data science (HCDS)‐based pedagogy that concentrates on cultivating communities of ethical practice (COEPs) through social learning. We favor embedding this macroethics throughout iField programs' graduate data science curricula and by extension, the entire data science education enterprise. This paper aligns with the 2023 ASIS&T annual meeting theme of translating research into practice, particularly the subthemes of “improving decision‐making” and “understanding the power of information to develop human happiness, equality, and wellbeing.”

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“…89 Yet, they point out, the result of treating data as starting point is 'an unnoticed assumption that data are transparent, that information is self-evident, the fundamental stuff of truth itself ' . 90 Gitelman and Jackson attempt to make clear in their book that data has no ground of existence independent of the human imagination of data, which, they argue, is always grounded in an 'interpretative base' . 91 And these interpretations, they emphasize, already play an important role in generating and producing data.…”

Section: The Latent Existence Of Value In Mountains Of Datamentioning

confidence: 99%

“…90 Gitelman and Jackson attempt to make clear in their book that data has no ground of existence independent of the human imagination of data, which, they argue, is always grounded in an 'interpretative base' . 91 And these interpretations, they emphasize, already play an important role in generating and producing data. Rather than being extracted, all data is created by humans to be recorded by machines.…”

Section: The Latent Existence Of Value In Mountains Of Datamentioning

confidence: 99%

De-Agentializing Data Practices: The Shifting Power of Metaphor in 1990s Discourses on Data Mining

Kerssens¹

2019

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Introduction: data mining as extraction of natural resources Big Data represents a tremendous opportunity to drill down and tap into these critical insights. In fact, the powerful potential to mine and refine this vital, valuable resource points to a direct comparison to a similarly vital resource in the modern economy: crude oil. 1 Meanwhile, artificial-intelligence (AI) techniques such as machine learning extract more value from data. 2

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Introduction

Cited by 4 publications

References 0 publications

Surveillance as information practice

Surveillance as information practice

Data Flourishing: Developing Human‐Centered Data Science through Communities of Ethical Practice

De-Agentializing Data Practices: The Shifting Power of Metaphor in 1990s Discourses on Data Mining

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