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Supporting University Research and Administration via Interactive Visual Exploration of Bibliographic Data
Linköpings University, Sweden.ORCID iD: 0000-0002-1907-7820
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Linköpings University, Sweden. (ISOVIS, DISA-DH)ORCID iD: 0000-0002-0519-2537
2023 (English)In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '23): Volume 3: IVAPP / [ed] Christophe Hurter, Helen Purchase, and Kadi Bouatouch, SciTePress, 2023, p. 248-255Conference paper, Published paper (Refereed)
Abstract [en]

Bibliographic data and bibliometric analyses play an important role in the professional life of academic researchers, and the quality of the respective publication records is essential for establishing the big picture of the relationships between particular publications, their authors and affiliations, or further data facets associated with publications. In this paper, we report on the design and outcomes of an interactive visual data exploration project conducted within the scope of a university with the goal of gaining overview of the university publication data. The project has been carried out by information visualization researchers in collaboration with several groups of stakeholders, including the university library and administration staff. We describe the design considerations, the resulting interactive visual interface, and the feedback received from the stakeholders with respect to the tool functionality and the insights discovered in the bibliographic data.

Place, publisher, year, edition, pages
SciTePress, 2023. p. 248-255
Series
VISIGRAPP, ISSN 2184-4321
Keywords [en]
Bibliographic Data, Bibliometric Analysis, Data Curation, Co-Authorship Networks, Library and Information Science, Publication Data Visualization, Scholarly Data Visualization, Information Visualization
National Category
Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-119661DOI: 10.5220/0011806900003417Scopus ID: 2-s2.0-85182777997ISBN: 9789897586347 (electronic)OAI: oai:DiVA.org:lnu-119661DiVA, id: diva2:1741845
Conference
International Conference on Information Visualization Theory and Applications (IVAPP), 19-21 February, 2023
Available from: 2023-03-07 Created: 2023-03-07 Last updated: 2024-02-15Bibliographically approved

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Kucher, KostiantynKerren, Andreas

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf