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Visual Analytics of Bibliographical Data for Strategic Decision Support of University Leaders: A Design Study

Topics: Databases and Visualization, Visual Data Mining; Information and Scientific Visualization; Interface and Interaction Techniques for Visualization; Visual Data Analysis and Knowledge Discovery; Visual Representation and Interaction

Authors: Paul Rosenthal 1 ; Nicholas Müller 2 and Fabian Bolte 3

Affiliations: 1 Institute of Computer Science, University of Rostock, Rostock and Germany ; 2 Faculty of Computer Science and Business Information Systems, University of Applied Sciences Würzburg-Schweinfurt, Würzburg and Germany ; 3 Department of Informatics, University of Bergen, Bergen and Norway

ISBN: 978-989-758-354-4

Keyword(s): Bibliographical Data, Stream Graph, Decision Support, Design Study.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; Databases and Visualization, Visual Data Mining ; General Data Visualization ; Information and Scientific Visualization ; Interface and Interaction Techniques for Visualization ; Visual Data Analysis and Knowledge Discovery ; Visual Representation and Interaction

Abstract: As responsibilities about documentation of work in conjunction with an increase in third-party-funding for universities have been shifting over the last decade, new tools for the inspection and reporting of data are increasingly requested for strategic decision making. Therefore, we present a design study that aims to craft a stream visualization for the easy to use and easy to understand display of publications across university institutions. A formal design process was performed and led to a web-based visualization prototype of the available university data sets. The used visualization techniques, counting methodology, highlighting practices, and interaction paradigms are discussed and presented in detail. The design study was completed by an informal evaluation procedure within the ranks of strategic decision making staff. It turned out, that the developed expert tool allows to identify connections for future projects. In addition, it enables management to recognize promising depar tments or to apply support where it is needed. (More)

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Paper citation in several formats:
Rosenthal, P.; Müller, N. and Bolte, F. (2019). Visual Analytics of Bibliographical Data for Strategic Decision Support of University Leaders: A Design Study.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, ISBN 978-989-758-354-4, pages 297-305. DOI: 10.5220/0007396302970305

@conference{ivapp19,
author={Paul Rosenthal. and Nicholas H. Müller. and Fabian Bolte.},
title={Visual Analytics of Bibliographical Data for Strategic Decision Support of University Leaders: A Design Study},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP,},
year={2019},
pages={297-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007396302970305},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP,
TI - Visual Analytics of Bibliographical Data for Strategic Decision Support of University Leaders: A Design Study
SN - 978-989-758-354-4
AU - Rosenthal, P.
AU - Müller, N.
AU - Bolte, F.
PY - 2019
SP - 297
EP - 305
DO - 10.5220/0007396302970305

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