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Interdisciplinarity and collaboration: on the relationship between disciplinary diversity in departmental affiliations and reference lists
- Source :
- Digital.CSIC. Repositorio Institucional del CSIC, instname
- Publication Year :
- 2018
- Publisher :
- Springer Nature, 2018.
-
Abstract
- "This is a post-peer-review, pre-copyedit version of an article published in Scientometrics. The final authenticated version is available online at: https://doi.org/10.1007/s11192-018-2853-0”.<br />This study explores the characteristics of scientific activity patterns through co-author affiliations to obtain new insights into interdisciplinary research. To classify the interdisciplinarity in research, we explored and compared two different approaches: the diversity of disciplines reflected in the listed affiliations of the authors and the diversity of the subject categories reflected in the reference list. To assess the diversity in departmental affiliations, we developed an explorative methodology that retrieves feature words from a combination of manual work and the thesaurus function in the Thomson Data Analyzer text mining tool. To assess the diversity in references, we followed the conventional approach applied in previous work. With both approaches, we relied on diversity as the measure for assessing interdisciplinarity of 157,710 articles published in PloS One (2007–2016). Based on a comparison between the results of both approaches, our study confirms that different methodologies and indicators can produce seriously inconsistent, and even contradictory results. In addition, different indicators may capture different understandings of such a multi-faceted concept as interdisciplinarity. Our results are summarized in a schematic representation of this twofold perspective as a method of indexing the different types of interdisciplinarity commonly found in research studies.<br />The present study is an extended version of an article presented at the 16th International Conference on Scientometrics and Informetrics, Wuhan (China), 16–20 October 2017 (Zhang et al. 2017). The authors would like to acknowledge support from the National Natural Science Foundation of China (Grant No. 71573085), the Innovation Talents of Science and Technology in HeNan Province (Grant Nos. 16HASTIT038, 2015GGJS-108), and the Excellent Scholarship in Social Science in HeNan Province (No. 2018-YXXZ-10). We thank Giovanni Abramo and Ronald Rousseau for inspiring discussions.
- Subjects :
- Thesaurus (information retrieval)
Diversity
media_common.quotation_subject
05 social sciences
Search engine indexing
Reference analysis
General Social Sciences
Subject (documents)
Library and Information Sciences
050905 science studies
Data science
Computer Science Applications
Interdisciplinarity research
Collaborations
Multidisciplinary approach
PloS One
Science studies
Institutional Affiliations
0509 other social sciences
050904 information & library sciences
Function (engineering)
Discipline
media_common
Diversity (politics)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Digital.CSIC. Repositorio Institucional del CSIC, instname
- Accession number :
- edsair.doi.dedup.....5e84296dbe378cb7ebed7855c3e6c61f