Big Data and reality

被引:16
作者
Shaw, Ryan [1 ]
机构
[1] Univ North Carolina Chapel Hill, Sch Informat & Lib Sci, CB 3360,100 Manning Hall, Chapel Hill, NC 27599 USA
关键词
Big Data; software architecture; data modeling; design; historical methods; ontology;
D O I
10.1177/2053951715608877
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
DNA sequencers, Twitter, MRIs, Facebook, particle accelerators, Google Books, radio telescopes, Tumblr: what do these things have in common? According to the evangelists of "data science," all of these are instruments for observing reality at unprecedentedly large scales and fine granularities. This perspective ignores the social reality of these very different technological systems, ignoring how they are made, how they work, and what they mean in favor of an exclusive focus on what they generate: Big Data. But no data, big or small, can be interpreted without an understanding of the process that generated them. Statistical data science is applicable to systems that have been designed as scientific instruments, but is likely to lead to confusion when applied to systems that have not. In those cases, a historical inquiry is preferable.
引用
收藏
页数:4
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