Observing the Materiality of Values in Information Systems Research

Snyder, Jaime; Shilton, Katie; Anderson, Sara

doi:10.1109/hicss.2016.254

Cited by 13 publications

(7 citation statements)

References 58 publications

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“…The papers also provide policy and design implications focused on how to better support individual and collaborative data work, 25 how to characterize the data activism of patients so they might be more influential, 29 and how to support workers to adapt to data work and find ways to thrive amid changing, data-centric work environments. 23 A critical line of ongoing research should pertain to the consequences of widespread “valorization of data-oriented ways of knowing” 50 in healthcare. Hence, while the studies presented here answer questions related to what is observable in terms of data work, they do not describe what is absent.…”

Section: Implications Of Healthcare Data Workmentioning

confidence: 99%

Data work in healthcare: An Introduction

Bossen

Pine

Cabitza

et al. 2019

Health Informatics J

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Healthcare organizations across the globe are currently grappling to implement tools and practices to transform data from "refuse to riches," a movement propelled by mass adoption of electronic health records (EHRs), sensors, and servers that can hold an ever-expanding volume of digital data. 1 Allegedly, "By digitizing, combining and effectively using big data, healthcare organizations ranging from single-physician offices and multi-provider groups to large hospital networks and accountable care organizations stand to realize significant benefits." 2 The potential is ".. . to improve care, save lives and lower costs." 2 As a consequence, organizations are struggling under massive institutional pressures to make healthcare "data-driven" against the messy reality of creating, managing, analyzing, and using data for management, decision-making, accountability, and medical research. 3 However, data do not sit in ready repository, fully formed, and easily harvestable. 4 Data must be created through various forms of situated work. Even when data is a byproduct-"exhaust data"from other processes, data has to be filtered, analyzed, and interpreted. 5 While scholars have acknowledged the situated and effortful nature of data production along with the inherent subjectivities of data, these practices have been little investigated.

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Section: Implications Of Healthcare Data Workmentioning

confidence: 99%

Data work in healthcare: An Introduction

Bossen

Pine

Cabitza

et al. 2019

Health Informatics J

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“…Another reviewed methods and theoretical aspects of VSD (van der Hoven et al 2015); that author did an internship at the VSD laboratory in Seattle, under the supervision of Prof Friedman. The third was a review of information systems, science and technology studies, media studies and computer ethics, involving VSD (Snyder et al 2016).…”

Section: Value Sensitive Designmentioning

confidence: 99%

I am a Person

Kreps

Burmeister²

2019

The ORBIT Journal

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This paper presents a conception of personhood as both physical and social, and both as radically contingent upon their respective physical and social environments. In the context of age-related cognitive decline, particularly dementia, it supports literature suggesting social personhood is occluded rather than deteriorating with brain function. Value sensitive design (VSD) applied to assistive technologies for people with age-related cognitive decline, has focused upon physical support. The paper concludes that issues of power must be grasped by those in VSD practice in order to reorient VSD in assistive technologies to also support social personhood.

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“…Design studies in other areas of computing, such as software design [48], [49], infrastructure design [47], [50], [51], game design [52], and accessibility design [53], [54], show that reflective examination of the values that motivate decisions made during the technology development process, not just the technical outcomes, can lead to a better understanding of both current contexts of use and responsible development of future systems [55], [56]. The values evident in vernacular visualization practices, as observed in practices of adaptation, repurposing and pragmatic invention, will provide important signposts for understanding the mechanisms of innovation in informal design contexts [57], [58].…”

Section: Values In the Design Of Visualizationsmentioning

confidence: 99%

Vernacular Visualization Practices

Snyder¹

2019

Preprint

Self Cite

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In this essay, I define and discuss vernacular visualization practices: the creation and use of data-driven visual representations by individuals untrained in design or data science, in contrast to formal or expert visualization practices. Vernacular visualization practices reflect local and situated resources, requirements, evaluation criteria, and final outputs. In these contexts, individuals sometimes choose to make design choices that differ from those vetted by experts. These differences surface opportunities for deeper understanding of visualizations in communicating data-driven information to diverse audiences and among stakeholders with heterogenous expertise and needs. To support this argument, I discuss the origins of the concept of vernacular visualization practices, highlight related trends in human-computer interaction (HCI) research, and then briefly describe some methodological approaches for studying them.

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Observing the Materiality of Values in Information Systems Research

Cited by 13 publications

References 58 publications

Data work in healthcare: An Introduction

Data work in healthcare: An Introduction

I am a Person

Vernacular Visualization Practices

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