The current research examines the emergent literature of Critical Data Studies, and particularly aligns with Michael and Lupton’s (2016) manifesto calling for researchers to study the Public Understanding of Big Data. The aim of this paper is to explore Irish stakeholders’ narratives on data sharing in agriculture, and the ways in which their attitudes towards different data sharing governance models reflect their understandings of data, the impact that data hold in their lives and in the farming sector, as well as (...) their preferences for how data should be governed within agriculture. Seven focus groups were held in 2019 with Irish stakeholders from a variety of backgrounds, including agri-researchers, those working in SMEs, and farmers of varying ages and sectors. The primary activities carried out during these focus groups centred upon asking participants to discuss four different data sharing governance models, and to work their way through a set of value cards relating to these models. Focus group results are studied using an inductive, data-driven form of thematic analysis (Braun and Clarke 2006). Five primary themes cross-cut these focus groups: 1) Desire for a data intermediary, 2) Reversing the value chain, 3) Categorisation of data, 4) The common good, and 5) Potential danger in data sharing. These themes are explored in the paper through a detailed discussion of the focus group results, in which the authors track the manifestation of these themes across focus groups, and the ways they sometimes morphed or changed depending upon the participating stakeholder group. (shrink)

This paper serves a dual function: (1) it is intended to proffer a stable understanding of our digital engagement on the Internet as a form of labor that is co-opted by digital firms for private profit; (2) it extends the concept of participatory democracy to our digital world, arguing that our collective or common production of value for digital firms (in the form of what I call“knowledge goods”) requires the implementation of participatory democratic governance mechanisms over these digital firms and (...) the experimentation with democratic digital alternatives.Whereas others have argued in favor of democratic control over digital platforms on the basis of the power that digital firms have over user's lives (Engelmann et al.,2020), this paper adds to this discussion by arguing in favor of digital platform democratization based on the value-generating labor contributed by digital users. (shrink)

Social media commentary, satellite imagery and GPS data are a part of ‘alternative data’, that is, data that originate outside of the standard repertoire of market data but are considered useful for predicting stock prices, detecting different risk exposures and discovering new price movement indicators. With the availability of sophisticated machine-learning analytics tools, alternative data are gaining traction within the investment management and algorithmic trading industries. Drawing on interviews with people working in investment management and algorithmic trading firms utilizing alternative (...) data, as well as firms providing and sourcing such data, we emphasize social media-based sentiment analytics as one manifestation of how alternative data are deployed for stock price prediction purposes. This demonstrates both how sentiment analytics are developed and subsequently utilized by investment management firms. We argue that ‘alternative data’ are an open-ended placeholder for every data source potentially relevant for investment management purposes and harnessing these disparate data sources requires certain standardization efforts by different market participants. Besides showing how market participants understand and use alternative data, we demonstrate that alternative data often undergo processes of prospecting and assetization. We further contend that the widespread embracement of alternative data in investment management and trading encourages a financialization process at the data level which raises new governance issues. (shrink)

Personal data are produced through our daily interactions with digital technologies like search engines, social media, and online shopping, and is often referred to as our “digital exhaust.” It has been characterized as the key resource or asset for our economies in the 21st century. This paper focuses on the socio-technical imaginaries of digital personal data as a way to understand how desired forms of data governance are co-produced with collective understandings of personal data as a political-economic asset. We examine (...) the different socio-technical imaginaries that underpinned different developments in data regulations in the United States and EU from 2008 to 2016, focusing specifically on the mutual constitution of law, political economy, and technoscience. We do so in order to understand the “prehistories” of contemporary data governance. We analyze the institutional and legal context around the development of data privacy regulation and data commercialization in these two important jurisdictions and reflect on how this institutional and legal context configured their respective approaches to data governance. (shrink)

In recent years, data-driven approaches to chronic pain care have increased dramatically. However, people living with chronic pain are ambivalent about datafication practices. Drawing on in-depth interviews with individuals living with chronic pain, I discuss and analyze this ambivalence. On the one hand, participants imbibe the promissory rhetoric of data as that which may organize and control the body in pain. On the other hand, they dismiss and critique the type of data collected. This micro-level analysis of the pain tracking (...) experience illuminates a tension between datafication and chronic pain. Datafication demands that the patient relay information about their body that is free of ambiguity. However, chronic pain is ambiguous and full of paradox. This article illuminates the emotional chasm between datafication enthusiasts and chronic pain patients who track their pain and suggests that such enthusiasm may lead to bad faith. (shrink)