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Informationstechnologische Ged��chtnisarbeit in der Rezensionszeitschrift RIDE

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 07 Mar 2022Publisher:Zenodo
Authors: Henny-Krahmer, Ulrike; Neuber, Frederike; Scholger, Martina;

doi: 10.5281/zenodo.6328176 , 10.5281/zenodo.6328177 , 10.5281/zenodo.6322571 , 10.5281/zenodo.6322570

Informationstechnologische Ged��chtnisarbeit in der Rezensionszeitschrift RIDE

Abstract

Seit 2014 gibt das Institut f��r Dokumentologie und Editorik (IDE) die digitale Rezensionszeitschrift RIDE (A Review Journal for Digital Editions and Resources) heraus. Mit derzeit (Stand Juli 2021) 70 Rezensionsartikeln zu digitalen wissenschaftlichen Editionen, Textsammlungen sowie Tools und Forschungsumgebungen ist es RIDE in den letzten sieben Jahren gelungen, Rezensionen verst��rkt in den Digital Humanities zu verankern. Das Poster wird die technischen Grundlagen RIDEs illustrieren und damit einen Blick "hinter die Kulissen" gew��hren. Neben einer Beschreibung des derzeitigen Workflows soll der Beitrag demonstrieren, dass die strukturelle und semantische Codierung der Inhalte sowie die Begleitung der Rezensionen durch Kriterien und Frageb��gen dazu f��hren, dass RIDE neben dem Angebot von Texten auch vermehrt datengest��tzte Zug��nge bietet. Die Arbeit an einem digitalen Rezensionsjournal wird so vermehrt zu informationstechnologischer Ged��chtnisarbeit. Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Ged��chtnisses.

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Keywords

Digitale Editionen, Infrastruktur, Rezension, Publikationsworkflow, Forschungsumgebungen, Bewertung, Ver��ffentlichung, DHd2022, Veröffentlichung, Textsammlungen, FAIR

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citations
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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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