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

Paul Rosenthal, Nicholas Müller, Fabian Bolte

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 departments or to apply support where it is needed.

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Paper Citation


in Harvard Style

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 3: IVAPP, ISBN 978-989-758-354-4, pages 297-305. DOI: 10.5220/0007396302970305


in Bibtex Style

@conference{ivapp19,
author={Paul Rosenthal and Nicholas 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 3: IVAPP,},
year={2019},
pages={297-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007396302970305},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: 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