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Métopes. Methods and tools for structured publishing, a data-driven approach

Authors: Roux, Dominique; Cannet, Edit;

Métopes. Methods and tools for structured publishing, a data-driven approach

Abstract

This is an introduction to Métopes by Dominique Roux and Edith Cannet given at the workshop From Text to Structured Edition – Producing XML-TEI Content, at Göttingen State and University Library, december, 2018. The workshopwas organised by AEUP, in cooperation with the projects Métopes and HIRMEOS. Métopes, developed at the Maison de la Recherche en Sciences Humaines in Caen as a project framework, aims to realize a set of tools and methods to allow the distribution of digital content in standardized environments with high interoperability potential. Métopes contributes to global rationalization of the publishing process by promoting the implementation of new multimedia distribution strategies and ensuring the sustainability of content and metadata. By supporting the production of standardised content (XML-TEI), the Métopes framework enables common catalogues or other content aggregation of associated publishers and content providers (metadata and content) in established industry standards such as ONIX.

Keywords

single source publishing, university presses, digital publishing, publishing workflow, HSS

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selected citations
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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).
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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.
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