Big data and the historical sciences: A critique

被引：4
|
作者：
Ebach, Malte C. [1 ]
Michael, Michaelis S. [2 ]
Shaw, Wendy S. [1 ]
Goff, James [1 ]
Murphy, Daniel J. [3 ]
Matthews, Slade [4 ,5 ]
机构：
[1] UNSW, Sch Biol Earth & Environm Sci, Palaeontol Geobiol & Earth Arch Res Ctr, Kensington, NSW 2052, Australia
[2] UNSW, Sch Humanities & Languages, Kensington, NSW 2052, Australia
[3] Royal Bot Gardens Victoria, Melbourne, Vic 3004, Australia
[4] Univ Sydney, Bosch Inst, Discipline Pharmacol, Pharmacoinformat Lab, Sydney, NSW 2006, Australia
[5] Univ Sydney, Sydney Med Sch, Sydney, NSW 2006, Australia
来源：
GEOFORUM | 2016年 / 71卷
关键词：
Big Data Cycle; Big Data hubris; Biogeography; Google Flu Trends; Next Generation Sequencing; Small data; BIOGEOGRAPHY; DISPERSAL; MODEL;
D O I：
10.1016/j.geoforum.2016.02.020
中图分类号：
P9 [自然地理学]; K9 [地理];
学科分类号：
0705 ; 070501 ;
摘要：
Social media, government, industry and science use data in the same way, through the pursuit of correlations in large data sets. As this critique shows, however, there is greater dialogue about the potential pitfalls of Big Data and the Big Data Cycle in non-historical science fields, such as medicine and advertising. Pitfalls, such as the Big Data Hubris, the Filter Bubble and correlation superseding causation, are discussed in relation to the historical sciences. (C) 2016 Elsevier Ltd. All rights reserved.
引用
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页码：1 / 4
页数：4
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