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Producing and projecting data: Aesthetic practices of government data portals

机译:生产和投影数据:政府数据门户的美学实践

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We develop the concept of ‘aesthetic practices’ to capture the work needed for population data to be disseminated via government data portals. Specifically, we look at the Census Hub of the European Statistical System and the Danish Ministry of Education’s Data Warehouse. These portals form part of open government data initiatives, which we understand as governing technologies. We argue that to function as such, aesthetic practices are required so that data produced at dispersed sites can be brought into relation and projected as populations in forms such as bar charts, heat maps and tables. Two examples of aesthetic practices are analysed based on ethnographic studies we have conducted on the production of data for the Hub and Warehouse: metadata and data cleaning. Metadata enables data to come into relation by containing and accounting for (some of) the differences between data. Data cleaning deals with the indeterminacies and absences of data and involves algorithms to determine what values data can obtain so they can be brought into relation. We attend to how both aesthetic practices involve normative decisions that make absent what exceeds them: embodied knowledge that cannot or has not been documented as well as data that cannot meet the forms required of data portals. While these aesthetic practices are necessary to sustain data portals as ‘sites of projection,’ we also bring critical attention to their performative effects for knowing, enacting and governing populations.
机译:我们培养“美学实践”的概念,以捕捉通过政府数据门户网站传播人口数据所需的工作。具体而言,我们看看欧洲统计系统的人口普查中心和丹麦教育部的数据仓库。这些门户网站构成了开放政府数据举措的一部分,我们理解为管理技术。我们认为这样的功能,需要审美实践,以便可以将在分散站点产生的数据相关并作为条形图,热图和表等形式的群体投射。基于我们对集线器和仓库数据的生产进行的民族标志进行分析的两个审美实践的例子:元数据和数据清洁。元数据通过包含和计入数据之间的差异,使数据能够进行数据。数据清理处理不确定的数据和数据缺勤,并且涉及算法来确定数据可以获得的值,以便它们能够实现它们的关系。我们参加了审美实践如何涉及规范决策,使得缺席超出它们:体现了无法记录或尚未记录的知识以及无法满足数据门户所需的表格的数据。虽然这些审美实践是维持数据门户作为“投影场所”,但我们还将关键重视他们对知识,颁布和管理人群的表现效果。

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