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forTEXT-Hefte: Eine Open-Access-Plattform für den Wissensaustausch in den digitalen Literaturwissenschaften

Authors: Gerstorfer, Dominik; Akazawa, Mari; Gius, Evelyn;

forTEXT-Hefte: Eine Open-Access-Plattform für den Wissensaustausch in den digitalen Literaturwissenschaften

Abstract

Das forTEXT-Projekt ist ein Disseminationsprojekt, das seit 2017 die Verbreitung digitaler Methoden in Literaturwissenschaften vorantreibt. Zentraler Bestandteil des Projekts ist das Portal forTEXT.net. In einer weiteren Projektphase wird das Portal durch die Einführung des Open-Access-Journals forTEXT-Hefte erweitert werden. In den forTEXT-Heften werden die Portalinhalte als thematisch gebündelte Ausgaben publiziert. Forschende und Lehrende erhalten außerdem die Möglichkeit, die Themenhefte durch eigene Beiträge zu erweitern. Dadurch entsteht eine dynamische Plattform für den Wissensaustausch, auf der Erfahrungen, Erkenntnisse und bewährte Methoden geteilt werden können. Die forTEXT-Hefte werden als verlagsunabhängiges Journal betrieben und tragen dazu bei, Wissen und Methoden in den digitalen Literaturwissenschaften nachhaltig zugänglich zu machen. Das Poster gibt einen Einblick in die forTEXT-Hefte und stellt den technisch-redaktionellen Workflow des Journals dar.

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Keywords

Paper, Wissensvermittlung, Community-Bildung, Organisation, Lehre, DHd2024, Hochschuhllehre, Veröffentlichung, Posterpräsentation, Open-Access

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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green