A critical reflection on Big Data: Considering APIs, researchers and tools as data makers
A critical reflection on Big Data: Considering APIs, researchers and tools as data makers
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对大数据的批判性反思：将 API、研究人员和工具视为数据制造者
作者：
F. Vis
本文着眼于数据是如何“制造”的，由谁以及如何制造的。这篇论文没有假设数据已经存在于“那里”，等待被简单地恢复并转化为发现，而是研究了数据是如何通过动态研究交叉点共同产生的。特别关注的是应用程序编程接口（API）、收集数据的研究人员以及用于处理数据的工具之间的交集。鉴于此，本文提出了三种定义和思考大数据的新方法，并提出了一系列制作数据的实用建议。
This paper looks at how data is ‘made’, by whom and how. Rather than assuming data already exists ‘out there’, waiting to simply be recovered and turned into findings, the paper examines how data is co–produced through dynamic research intersections. A particular focus is the intersections between the application programming interface (API), the researcher collecting the data as well as the tools used to process it. In light of this, this paper offers three new ways to define and think about Big Data and proposes a series of practical suggestions for making data.