Caring for data: Value creation in a data-intensive research laboratory
Caring for data: Value creation in a data-intensive research laboratory
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DOI：
10.1177/0306312720906567
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发表时间：
2020-02-13
影响因子：
3
通讯作者：
McKevitt, Christopher
中科院分区：
文献类型：
--
作者：
Pinel, Clemence;Prainsack, Barbara;McKevitt, Christopher
根据在一个围绕双胞胎研究和临床数据建立的研究实验室工作的工作人员的人种学观察，本文分析了研究数据库的生产和维护的实践基础。虽然关键数据研究已经讨论了不同形式的“数据工作”，通过这些“数据工作”产生数据并将其转化为有效的研究资源，但在本文中，我们提出了一种特定形式的数据工作，即人类与数据建立的情感和关注关系。在STS和女权主义学术强调护理在科学工作中的重要性的基础上，我们将这种特定形式的数据工作称为护理。将数据视为关系实体，我们讨论了员工用于生产和维护数据的一系列护理实践，以及这些护理实践发生的等级和制度安排。我们表明，通过关心的行为，即通过情感和专注的参与，研究人员与他们帮助产生的数据建立了长期关系，并对数据的繁荣和增长负责。与此同时，这些护理实践——我们发现在正式和非正式的奖励制度中，这些实践与其他实践有性别差异和不同的价值——有助于使数据对机构有价值。在这种方式下，对数据的关注是数据密集型研究中估值和估值的重要实践，迄今为止，在学术和专业研究实践中很少得到明确的关注。
Drawing upon ethnographic observations of staff working within a research laboratory built around research and clinical data from twins, this article analyzes practices underlying the production and maintenance of a research database. While critical data studies have discussed different forms of 'data work' through which data are produced and turned into effective research resources, in this paper we foreground a specific form of data work, namely the affective and attentive relationships that humans build with data. Building on STS and feminist scholarship that highlights the importance of care in scientific work, we capture this specific form of data work as care. Treating data as relational entities, we discuss a set of caring practices that staff employ to produce and maintain their data, as well as the hierarchical and institutional arrangements within which these caring practices take place. We show that through acts of caring, that is, through affective and attentive engagements, researchers build long-term relationships with the data they help produce, and feel responsible for its flourishing and growth. At the same time, these practices of care - which we found to be gendered and valued differently from other practices within formal and informal reward systems - help to make data valuable for the institution. In this manner, care for data is an important practice of valuation and valorisation within data-intensive research that has so far received little explicit attention in scholarship and professional research practice.