2016
DOI: 10.7202/1035926ar
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Acteurs et économie des métadonnées du livre en France : analyse et avenir

Abstract: Dans le cadre de la transformation numérique de la filière du livre, cet article s’intéresse aux enjeux renouvelés des métadonnées associées au livre. Dans le contexte français, nous analysons l’offre de métadonnées portée par différents acteurs marchands et non marchands, et nous comparons la valeur de chacune d’entre elles. Le développement du livre numérique installe un nouveau contexte et sont pointés, même limités, des partenariats émergents de production des métadonnées entre bibliothèques, éditeurs et i… Show more

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Cited by 4 publications
(1 citation statement)
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“…The principle of the first Databook, as a dynamic documentation device, was guided by this urgent need and by a broader interdisciplinary approach to data quality. It had to take into account both computational (Berti-Equille 2012; Wang 1998) and cognitive (Arruabarrena et al 2019;Broudoux & Scopsi 2011;Cottin & Nesme 2017;Odeh & Chartron 2016) aspects of transforming data into useful information by reducing uncertainties (Mayère 1990) in a given economic context (Doucet 2010). These historical approaches generally apply to the Master Data Management (Loshin 2010), where data governance issues are more largely focused: its objective is to 'increase business performance (by adjusting the value of the data) and reduce the costs associated with the processing and management of master data' (Mariko 2016).…”
Section: Main Limits Of the Documentation Outputsmentioning
confidence: 99%
“…The principle of the first Databook, as a dynamic documentation device, was guided by this urgent need and by a broader interdisciplinary approach to data quality. It had to take into account both computational (Berti-Equille 2012; Wang 1998) and cognitive (Arruabarrena et al 2019;Broudoux & Scopsi 2011;Cottin & Nesme 2017;Odeh & Chartron 2016) aspects of transforming data into useful information by reducing uncertainties (Mayère 1990) in a given economic context (Doucet 2010). These historical approaches generally apply to the Master Data Management (Loshin 2010), where data governance issues are more largely focused: its objective is to 'increase business performance (by adjusting the value of the data) and reduce the costs associated with the processing and management of master data' (Mariko 2016).…”
Section: Main Limits Of the Documentation Outputsmentioning
confidence: 99%