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Cross Disciplinary Overtures with Interview Data: Integrating Digital Practices and Tools in the Scholarly Workflow

Scagliola, Stefania and Corti, Louise and Calamai, Silvia and Karrouche, Norah and Beeken,, Jeannine and van Hessen, Arjan and Draxler, Christoph and van den Heuvel, Henk and Broekhuizen, Max and Truongz, Khiet (2020) Cross Disciplinary Overtures with Interview Data: Integrating Digital Practices and Tools in the Scholarly Workflow. In: CLARIN Annual Conference 2019, 2019-09-30 - 2019-10-02, Leipzig, Germany.

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There is much talk about the need for multidisciplinary approaches to research and the opportunities that have been created by digital technologies. A good example of this is the CLARIN Portal, that promotes and supports such research by offering a large suite of tools for working with textual and audio-visual data. Yet scholars who work with interview material are largely unaware of this resource and are still predominantly oriented towards familiar traditional research methods. To reach out to these scholars and assess the potential for integration of these new technologies a multidisciplinary international community of experts set out to test CLARIN-type approaches and tools on different scholars by eliciting and documenting their feedback. This was done through a series of workshops held from 2016 to 2019, and funded by CLARIN and affiliated EU funding. This paper presents the goals, the tools that were tested and the evaluation of how they were experienced. It concludes by setting out envisioned pathways for a better use of the CLARIN family of approaches and tools in the area of qualitative and oral history data analysis

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Selected Papers from the CLARIN Annual Conference 2019, Linköping Electronic Conference Proceedings 172 (2020)
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > UK Data Archive
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 27 Nov 2020 18:42
Last Modified: 23 Sep 2022 19:42

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