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Computational Literary Studies Data Landscape Review

Authors: Börner, Ingo; Charvat, Vera Maria; Ďurčo, Matej; Mrugalski, Michał; Odebrecht, Carolin;

Computational Literary Studies Data Landscape Review

Abstract

"Literarische Werke und deren digitale Repräsentationen stellen auch in den Fachbereichen der Computational Literary Studies (CLS) das Fundament für epistemische Auseinandersetzungen und Diskurse. In unserem Teilprojekt Data Selection and Curation des europäischen ""Computational Literary Studies Infrastructure""-Projekts möchten wir Brücken zu wissensbasierten Ressourcen für die CLS-Community aufbauen, um die Zugangsparadigmen für literarische Daten signifikant zu rekonfigurieren und erheblich zu verbessern. Um die Auffindbarkeit und den forschungsorientierten Zugang zu literarischen Daten für die CLS-Community zu ermöglichen, ist eine Inventarisierung der CLS-Datenlandschaft erforderlich, die forschungsrelevante Kriterien für die Datenauswahl sowie deren Erfassung und Beschreibung anwendet. Mit dieser Inventarisierung, die wir in Form einer Data Landscape Review durchführen, kann die vorhandene Datenlandschaft als digitales Erbe für CLS-Kontexte erst umfassend sichtbar und als Vorlage für weitere Forschungsvorhaben zugänglich gemacht werden. Unser Posterbeitrag präsentiert die Ergebnisse der Data Landscape Review, das Beschreibungsmodell, dessen Umsetzung in RDF und ein proof-of-concept des Online-Katalogs." Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Gedächtnisses.

Keywords

Research Discovery, Community-Bildung, Data Landscape, FAIR principles, Organisation, Metadaten, Infrastruktur, Forschungsergebnis, Modellierung, DHd2022, Computational Literary Studies, Linked Open Data

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