On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data Journal Article


Author(s): Calatrava Moreno, Maria D C; Auzinger, Thomas; Werthner, Hannes
Article Title: On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data
Affiliation IST Austria
Abstract: The accuracy of interdisciplinarity measurements is directly related to the quality of the underlying bibliographic data. Existing indicators of interdisciplinarity are not capable of reflecting the inaccuracies introduced by incorrect and incomplete records because correct and complete bibliographic data can rarely be obtained. This is the case for the Rao–Stirling index, which cannot handle references that are not categorized into disciplinary fields. We introduce a method that addresses this problem. It extends the Rao–Stirling index to acknowledge missing data by calculating its interval of uncertainty using computational optimization. The evaluation of our method indicates that the uncertainty interval is not only useful for estimating the inaccuracy of interdisciplinarity measurements, but it also delivers slightly more accurate aggregated interdisciplinarity measurements than the Rao–Stirling index.
Keywords: uncertainty; Optimization; Bibliometrics; Interdisciplinarity; Missing data; Rao–Stirling index; Spanning tree
Journal Title: Scientometrics
Volume: 107
Issue 1
ISSN: 1588-2861
Publisher: Springer  
Date Published: 2016-04-01
Start Page: 213
End Page: 232
Copyright Statement: CC-BY
URL:
DOI: 10.1007/s11192-016-1842-4
Notes: The authors wish to thank the 48 doctoral researchers who agreed to participate in this study and generously shared their time to be interviewed.
Open access: yes (OA journal)
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