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Preprint . 2025
License: CC BY
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Preprint . 2024
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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2024
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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The CHIPS Database: A Repository for Reference Data on Chemical Analysis in Archaeometallurgy of Iron

Authors: Disser, Alexandre; Thomas, Huet; Bauvais, Sylvain; Costa, Laurent; Birch, Thomas; Dillmann, Philippe;

The CHIPS Database: A Repository for Reference Data on Chemical Analysis in Archaeometallurgy of Iron

Abstract

This preprint presents the core concepts of the CHIPS database, the project of a global repository of reference chemical data related to the archaeometallurgy of iron. Archaeometallurgists interested in iron do not currently have access to extensive chemical reference data repositories. Yet chemical data is of crucial importance both for reconstructing ancient technical systems and economic structures, by determining the operating conditions and the exchange networks. We are seeking to meet this need with the CHIPS database, developed on PostgreSQL. The goal is to provide the scientific community with global reference data in a standardised format. Chemical data can be selected using spatial, chronological or typological queries, thanks to the documentation of archaeological contexts and samples. Particular care has been taken to assess the quality of the chemical data, based on analytical metadata (types of analysis and technical characteristics of the analysers). In order to guarantee the interoperability of the database, the main tables are referenced by libraries, gazetteers and thesauri that are considered as standards by the archaeological community. The data can currently be consulted using a cartographic interface, and the development of a more advanced interface is envisaged, based on the implementation of graphic display tools for chemical data.

Keywords

Reference data, Databases as Topic/statistics & numerical data, Archaeometallurgy, Archaeometry, Databases as Topic/statistics & numerical data

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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