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dc.contributor.authorKlein, Ewan
dc.contributor.authorAlex, Beatrice
dc.contributor.authorGrover, Claire
dc.contributor.authorTobin, Richard
dc.contributor.authorCoates, Colin
dc.contributor.authorClifford, Jim
dc.contributor.authorQuigley, Aaron
dc.contributor.authorHinrichs, Uta
dc.contributor.authorReid, James
dc.contributor.authorOsborne, Nicola
dc.contributor.authorFieldhouse, Ian
dc.date.accessioned2015-08-13T15:40:02Z
dc.date.available2015-08-13T15:40:02Z
dc.date.issued2014-03
dc.identifier.citationKlein , E , Alex , B , Grover , C , Tobin , R , Coates , C , Clifford , J , Quigley , A , Hinrichs , U , Reid , J , Osborne , N & Fieldhouse , I 2014 ' Digging into Data white paper : Trading Consequences ' Trading Consequences Project .en
dc.identifier.otherPURE: 205723506
dc.identifier.otherPURE UUID: 57f9620e-8aa3-49ef-8975-f2b55d40ab0b
dc.identifier.otherBibtex: urn:25dfeceaff709cda7d088e9c7df01a95
dc.identifier.otherORCID: /0000-0002-5274-6889/work/34040097
dc.identifier.urihttp://hdl.handle.net/10023/7214
dc.description.abstractScholars interested in nineteenth century global economic history face a voluminous historical record. Conventional approaches to primary source research on the economic and environmental implications of globalised commodity flows typically restrict researchers to specific locations or a small handful of commodities. By taking advantage of cutting edge computational tools, the project was able to address much larger data sets for historical research, and thereby provides historians with the means to develop new data driven research questions. In particular, this project has demonstrated that text mining techniques applied to tens of thousands of documents about nineteenth century commodity trading can yield a novel understanding of how economic forces connected distant places all over the globe and how efforts to generate wealth from natural resources impacted on local environments. The large scale findings that result from the application of these new methodologies would be barely feasible using conventional research methods. Moreover, the project vividly demonstrates how the digital humanities can benefit from transdisciplinary collaboration between humanists, computational linguists and information visualisation experts
dc.format.extent67
dc.language.isoeng
dc.publisherTrading Consequences Project
dc.rightsCopyright The Authors and the Trading Consequences Project 2014.en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectD History (General)en
dc.subject.lccQA75en
dc.subject.lccD1en
dc.titleDigging into Data white paper : Trading Consequencesen
dc.typeWorking or discussion paperen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.urlhttp://tradingconsequences.blogs.edina.ac.uk/en


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