国内化数据:在数据经济中旅行和创造价值
Clémence Pinel1, Mette N Svendsen1
1University of Copenhagen, Copenhagen, Denmark.
Social studies of science
|November 25, 2023
概括
数据在实验室内通过讲故事,标准化,格式化和培养来化. 这个过程使数据成为有价值的知识工具,并将从业者融入实验室环境.
科学领域:
- 数据科学数据科学数据科学
- 科学社会学科学社会学
背景情况:
- 数据在不同环境中的移动得到了很好的研究,但数据流的位置未被充分探索.
- 实验室是数据生成和分析的关键地点.
研究的目的:
- 调查数据被集成到实验室环境中的"化"过程.
- 通过这种整合,了解数据如何成为有价值的知识工具.
主要方法:
- 在两个连接的数据密集型实验室进行民族学实地研究.
- 通过化理论的透视来分析数据实践.
主要成果:
- 确定了四个关键的化实践:讲故事,标准化,格式化和培养.
- 化重塑数据,建立实验室界限,并整合从业人员.
- 数据经济被视为相互连接的"家园",数据被服.
结论:
- 数据化对于将原始数据转化为有价值的知识资产至关重要.
- 这些做法塑造了数据和实验室工作人员的身份.
- 在化过程中沉默不寻常的数据行为会影响知识生产.
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