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Embracing the complexities of ‘Big Data’ in archaeology: the case of the English Landscape and Identities project

Abstract:
This paper considers recent attempts within archaeology to create, integrate and interpret digital data on an unprecedented scale - a movement that resonates with the much wider socalled ‘big data’ phenomenon. Using the example of our work with a particularly large and complex dataset collated for the purpose of the English Landscape and Identities project (EngLaID), Oxford, UK, and drawing on insights from social scientists’ studies of information infrastructures much more broadly, we make the following key points. Firstly, alongside scrutinising and homogenising digital records for research purposes, it is vital that we continue to appreciate the broader interpretative value of ‘characterful’ archaeological data (those that have histories and flaws of various kinds). Secondly, given the intricate and pliable nature of archaeological data and the substantial challenges faced by researchers seeking to create a cyber-infrastructure for archaeology, it is essential that we develop interim measures that allow us to explore the parameters and potentials of working with archaeological evidence on an unprecedented scale. We also consider some of the practical and ethical consequences of working in this vein.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s10816-015-9240-4

Authors


More by this author
Institution:
University of Oxford
Division:
SSD
Department:
School of Archaeology
Sub department:
Archaeology Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
School of Archaeology
Sub department:
Archaeology Institute
Role:
Author


Publisher:
Springer
Journal:
Journal of Archaeological Method and Theory More from this journal
Volume:
23
Issue:
1
Pages:
271-304
Publication date:
2015-02-01
Acceptance date:
2015-02-25
DOI:
EISSN:
1573-7764
ISSN:
1072-5369


Keywords:
Pubs id:
pubs:608789
UUID:
uuid:7253bc04-93ca-451f-814c-d57e7ddccb02
Local pid:
pubs:608789
Source identifiers:
608789
Deposit date:
2016-03-08

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