Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2024
License: CC BY
Data sources: Sygma
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

CLS INFRA T3.5 Interviews: Understanding User Requirements Beyond Academia

Authors: Yakupova, Vera; Edmond, Jennifer;

CLS INFRA T3.5 Interviews: Understanding User Requirements Beyond Academia

Abstract

The CLS INFRA research team at Trinity College Dublin, Jennifer Edmond, Associate Professor at Trinity College Dublin and the director of the Trinity Centre for Digital Humanities, and Vera Yakupova, Research Assistant at the Trinity Centre for Digital Humanities, conducted in the framework of the project a series of 15 focussed interviews with professionals beyond academia to understand user needs for computational literary studies beyond academia, and to develop user scenarios in this respect. This task’s team works closely with Work Packages 2 and 3 to profile potential users of infrastructure for literary analysis from beyond the academic sphere, as maximising use and impact is a key driver for sustainability. CLS INFRA has great potential to contribute to the work of many professions, and take advantage of the opportunity to maximise the use and impact of the infrastructure would function as a key driver for sustainability. The gap to be bridged, however, is in the understanding of what these non-professional researchers would need in terms of support and contextualisation of materials in order to be able to use them. Based on research into applied uses of literature (fiction), narratives, and storytelling, we profiled potential users of infrastructure for literary analysis from beyond the academic sphere. The research findings are detailed in our Report "D3.5 User needs beyond academic research for Computational Literary Analysis". This dataset includes transcripts of the 15 interviews with and without mark ups. For context and as supporting information for this research, the dataset also includes a documentation on the interviews ("Documentation: 'Users Beyond Academia' Interview Dataset"), a summary of the interview report ("3.5 Interview Report Summary"), and the presentation on this research at the DH2023 conference, July 10-14, in Graz, Austria.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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
Funded by
Related to Research communities