Archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical data

This paper uses examples from Mediterranean and in particular Italian prehistory to explore the interface between prehistoric archaeology and metals analysis by examining three areas: the usefulness of data from past analyses (‘what is it made of?’), lead isotope analysis and the problem of unpublis...

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Main Author: Mark Pearce
Format: Article
Language:English
Published: Taylor & Francis Group 2016-01-01
Series:Science and Technology of Archaeological Research
Subjects:
Online Access:http://dx.doi.org/10.1080/20548923.2016.1160593
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spelling doaj-e06bd6e6487a41e9844b5e9a7e56cf122020-11-24T23:58:02ZengTaylor & Francis GroupScience and Technology of Archaeological Research2054-89232016-01-0121465310.1080/20548923.2016.11605931160593Archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical dataMark Pearce0University of NottinghamThis paper uses examples from Mediterranean and in particular Italian prehistory to explore the interface between prehistoric archaeology and metals analysis by examining three areas: the usefulness of data from past analyses (‘what is it made of?’), lead isotope analysis and the problem of unpublished data (‘where is it from?’), and the interpretation of analytical data (‘what does it mean?’). Issues discussed include big data, the integration of datasets from different analytical programmes (especially where analytical results are in disagreement), and open access and the withholding of data through incomplete publication, which means that conclusions cannot be verified. It offers some suggestions as to how communication between archaeologists and archaeometallurgists can be improved.http://dx.doi.org/10.1080/20548923.2016.1160593Big dataopen accesscompositionprovenanceinterpretationlead isotopesItaly
collection DOAJ
language English
format Article
sources DOAJ
author Mark Pearce
spellingShingle Mark Pearce
Archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical data
Science and Technology of Archaeological Research
Big data
open access
composition
provenance
interpretation
lead isotopes
Italy
author_facet Mark Pearce
author_sort Mark Pearce
title Archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical data
title_short Archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical data
title_full Archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical data
title_fullStr Archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical data
title_full_unstemmed Archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical data
title_sort archaeology and archaeometallurgy: some unresolved areas in the interpretation of analytical data
publisher Taylor & Francis Group
series Science and Technology of Archaeological Research
issn 2054-8923
publishDate 2016-01-01
description This paper uses examples from Mediterranean and in particular Italian prehistory to explore the interface between prehistoric archaeology and metals analysis by examining three areas: the usefulness of data from past analyses (‘what is it made of?’), lead isotope analysis and the problem of unpublished data (‘where is it from?’), and the interpretation of analytical data (‘what does it mean?’). Issues discussed include big data, the integration of datasets from different analytical programmes (especially where analytical results are in disagreement), and open access and the withholding of data through incomplete publication, which means that conclusions cannot be verified. It offers some suggestions as to how communication between archaeologists and archaeometallurgists can be improved.
topic Big data
open access
composition
provenance
interpretation
lead isotopes
Italy
url http://dx.doi.org/10.1080/20548923.2016.1160593
work_keys_str_mv AT markpearce archaeologyandarchaeometallurgysomeunresolvedareasintheinterpretationofanalyticaldata
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