Who cares about data? Data care arrangements in everyday organisational practice

Juliane Jarke, Stefanie Büchner
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Abstract

The increasing data fi cation of social life has led to a growing body of research on data work which focusses on new data practices like self-tracking, new professions like data analysts or new occupational roles. In these new types of data work, people develop strong a ff ective relations to data, and caring for data (quality) is key. This attention to ‘ spectacular ’ data work however leads to an important oversight: Much of the data work in everyday organisational practice is done by workers ‘ somehow ’ , in addition to and alongside their existing tasks. This article sets out to better understand this mundane data work. It asks: Why and how do people in organisations care for data? Based on two qualitative case studies, we present the concept of data care arrangements . Data care arrangements are con fi gured through the ascription of values to (speci fi c) data sets and the work of generating, maintaining, and repairing data. This data care work is not necessarily homogeneous in organised settings but can become stabilised in data care arrangements. Thus, the notion of data care arrangements underlines that data in everyday organisational practice are not an object of care per se, but that data care is an accomplishment.
谁关心数据?日常组织实践中的数据保护安排
随着数据在社会生活中的作用越来越大,有关数据工作的研究也越来越多,这些研究主要集中在新的数据实践(如自我跟踪)、新的职业(如数据分析师)或新的职业角色上。在这些新型数据工作中,人们与数据建立了紧密而有效的关系,对数据(质量)的关注是关键。然而,这种对 "引人注目的 "数据工作的关注导致了一个重要的疏忽:日常组织实践中的大部分数据工作都是由工作人员 "以某种方式 "完成的,是他们现有任务之外的额外工作。本文旨在更好地理解这种平凡的数据工作。文章提出以下问题:组织中的人们为什么以及如何关注数据?基于两项定性案例研究,我们提出了数据保护安排的概念。数据保护安排是通过为(特定的)数据集赋予价值以及生成、维护和修复数据的工作来实现的。这种数据保护工作在有组织的环境中不一定是同质的,但可以在数据保护安排中稳定下来。因此,数据保护安排的概念强调,日常组织实践中的数据本身并不是数据保护的对象,但数据保护是一项成就。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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