Data journeys: Capturing the socio-material constitution of data objects and flows
Data journeys: Capturing the socio-material constitution of data objects and flows
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DOI：
10.1177/2053951716654502
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发表时间：
2016-07-13
影响因子：
8.5
通讯作者：
Goodale, Paula
中科院分区：
文献类型：
--
作者：
Bates, Jo;Lin, Yu-Wei;Goodale, Paula
在本文中，我们讨论了一种新方法的开发和试点，该方法用于阐明数据在不同实践地点之间移动时数据对象和流的社会物质构成。数据旅程方法有助于开发关键的定性方法，这些方法可以处理新兴知识基础设施的地理和时间规模，并捕捉从最初生成到在不同情况下重新使用的“数据生命”。我们讨论了数据旅程方法的理论发展，以及该方法在一个项目中的应用，该项目研究了从最初生产到在气候科学和金融市场中重复使用的气象数据。然后，我们讨论了这个项目的三个关键的概念性发现：（1）数字数据对象的社会物质构成，（2）通过空间和时间的数据移动的“摩擦”和（3）数字数据的可变性作为一种材料属性，有助于推动数据在不同的实践地点之间的移动。
In this paper, we discuss the development and piloting of a new methodology for illuminating the socio-material constitution of data objects and flows as data move between different sites of practice. The data journeys approach contributes to the development of critical, qualitative methodologies that can address the geographic and temporal scale of emerging knowledge infrastructures, and capture the 'life of data' from their initial generation through to re-use in different contexts. We discuss the theoretical development of the data journeys methodology and the application of the approach on a project examining meteorological data on their journey from initial production through to being reused in climate science and financial markets. We then discuss three key conceptual findings from this project about: (1) the socio-material constitution of digital data objects, (2) 'friction' in the movement of data through space and time and (3) the mutability of digital data as a material property that contributes to driving the movement of data between different sites of practice.