Big data and the historical sciences: A critique |
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| Affiliation: | 1. Palaeontology, Geobiology and Earth Archives Research Centre, School of Biological, Earth and Environmental Sciences, UNSW, Kensington, NSW 2052, Australia;2. School of Humanities and Languages, UNSW, Kensington, NSW 2052, Australia;3. Royal Botanic Gardens Victoria, Melbourne, VIC 3004, Australia;4. Pharmacoinformatics Laboratory, Discipline of Pharmacology, Bosch Institute and Sydney Medical School, The University of Sydney, NSW, Australia;1. Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, Ohio;2. Houston Methodist Orthopedics & Sports Medicine, Houston Methodist Hospital, Houston, Texas;1. Macquarie University, Sydney, Australia;2. Arizona State University, Arizona, United States |
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| Abstract: | 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. |
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| Keywords: | Big Data Cycle Big Data hubris Biogeography Google Flu Trends Next Generation Sequencing Small data |
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