Zeynep Say

University of Bonn

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Sören Auer

Technische Informationsbibliothek (TIB)

Sahar Vahdati

Institute of Computer Vision and Applied Computer Sciences

Jens Lehmann

Institute of Pathology Celle

Christoph Lange

Fraunhofer Institute for Applied Information Technology

Aysegul Say

University of Bonn

Andreas Behrend

University of Cologne

Fathalla Said

Said Fathalla

University of Bonn

Said Fathalla

Forschungszentrum Jülich

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University of Bonn

Fraunhofer Institute for Intelligent Analysis and Information Systems

TU Dresden

Institut für Biomedizinische Analytik und NMR Imaging (Germany)

Institute of Computer Vision and Applied Computer Sciences

Leipzig University

Technische Informationsbibliothek (TIB)

Fraunhofer Institute for Applied Information Technology

RWTH Aachen University

University of Birmingham

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A comprehensive quality assessment framework for scientific events

Scientometrics (2020)

Sahar Vahdati Said Fathalla Christoph Lange Andreas Behrend Aysegul Say

Systematic assessment of scientific events has become increasingly important for research communities. A range of metrics (e.g., citations, h-index) have been developed by different research communities to make such assessments effectual. However, most of the metrics for assessing the quality of less formal publication venues and events have not yet deeply investigated. It is also rather challenging to develop respective metrics because each research community has its own formal and informal rules of communication and quality standards. In this article, we develop a comprehensive framework of assessment metrics for evaluating scientific events and involved stakeholders. The resulting quality metrics are determined with respect to three general categories-events, persons, and bibliometrics. Our assessment methodology is empirically applied to several series of computer science events, such as conferences and workshops, using publicly available data for determining quality metrics. We show that the metrics' values coincide with the intuitive agreement of the community on its "top conferences". Our results demonstrate that highly-ranked events share similar profiles, including the provision of outstanding reviews, visiting diverse locations, having reputed people involved, and renowned sponsors.

Quality Assessment

10.1007/s11192-020-03758-1

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Citations (5)

Ontology Design for Pharmaceutical Research Outcomes

Lecture notes in computer science (2020)

Zeynep Say Said Fathalla Sahar Vahdati Jens Lehmann Sören Auer

Data publishing

Knowledge Sharing

10.1007/978-3-030-54956-5_9

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Citations (6)