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Disziplinspezifisches Forschungsdatenmanagement. FDM-Bedarfserfassung in den Computational Literary Studies

Authors: Helling, Patrick; Jung, Kerstin; Pielström, Steffen;

Disziplinspezifisches Forschungsdatenmanagement. FDM-Bedarfserfassung in den Computational Literary Studies

Abstract

Die außerordentliche Heterogenität geisteswissenschaftlicher Forschungsfragen und Methoden stellt das Forschungsdatenmanagement (FDM) vor besondere Herausforderungen. Die DFG fördert seit 2020 ein eigenes Schwerpunktprogramm für die Computational Literary Studies (SPP-CLS), ein junges, interdisziplinäres Forschungsfeld unter Beteiligung der Literaturwissenschaften, der Informatik und der Computerlinguistik. Mit zehn geförderten Forschungsprojekten an verschiedenen Universitäten in Deutschland und der Schweiz kann dieses Schwerpunktprogramm als Blaupause aufgefasst werden, an der sich die FDM-Bedarfe dieser noch jungen Fachdisziplin untersuchen lassen. Hierzu wurde mit allen Einzelprojekten eine 2-stufige Befragung basierend auf 47 meist offen gehaltenen Leitfragen durchgeführt. Die Ergebnisse stellen die Basis für eine umfassende FDM-Landschaftsvermessung und Bedarfserfassung dar, die als Ausgangspunkt für die effektive Beschreibung und Entwicklung von FDM-Lösungsstrategien für das Programm, als auch perspektivisch für die gesamte Fachdisziplin der Computational Literary Studies dient.

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Keywords

Interviews, FDM-Bedarfserfassung, FORGE2021, Computational Literary Studies

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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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