Exploring Big Historical Data

The Historian's Macroscope

Bibliographic Data

ID19924259
AuthorsShawn Graham (0000-0002-2887-3554, Carleton UniversityCanada), Ian Milligan (0000-0002-1470-7723, University of WaterlooCanada), Scott Weingart (0000-0003-4802-1364, Indiana UniversityUSA)
Year2015
Pages282
Publication date2015-11-01
Open AccessNo
TypeBOOK
VenueExploring Big Historical Data (SOURCE_BOOK)
PublisherImperial College Press (PUBLISHER • GB)
DOI10.1142/p981
OpenAlexW4251909731
Open LibraryOL30396274M
ISBN9781783266081
LanguageEN
Citations received23

"The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines, or designing and using their own tools to process large amounts of information. Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. It represents the current state-of-the-art thinking in the field and exemplifies the way that digital work can enhance public engagement in the humanities. Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings."--Back cover

Big data · Data mining · Computational and Text Analysis Methods · Computer Science · History · Computer network resources · Historiography · Methodology · Research

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