Show simple item record Wagner, Caroline S. Roessner, J. David Bobb, Kamau Klein, Julie Thompson Boyack, Kevin W. Keyton, Joann Rafols, Ismael Börner, Katy 2011-12-16T19:07:54Z 2011-12-16T19:07:54Z 2011-01
dc.identifier.citation Wagner, Caroline, Roessner, J. David, Bobb, Kamau, Klein, Julie Thompson, Boyack, Kevin W., Keyton, Joann, Rafols, Ismael & Börner, Katy. (2011). Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature. Journal of Informetrics. Vol. 5, 14-26, Elsevier. en
dc.identifier.uri en
dc.description.abstract Interdisciplinary scientific research (IDR) challenges the study of science from a number of fronts, including one of creating output science and engineering (S&E) indicators. This literature review began with a narrow focus on quantitative measures of the output of IDR, but expanded the scope as it became clear that differing definitions, assessment tools, evaluation processes, and measures all shed light on aspects of IDR. Key among the broader aspects are (a) characterizing the concept of knowledge integration, and (b) recognizing that it can occur within a single mind or as the result of team dynamics. Output measures alone cannot adequately capture this process. Among the quantitative measures considered, bibliometrics (co-authorships, collaborations, references, citations and co-citations) are the most developed, but leave considerable gaps in understanding. Emerging measures in diversity, entropy, and network dynamics are promising, but require sophisticated interpretations and thus would not serve well as S&E indicators. Combinations of quantitative and qualitative assessments coming from evaluation studies appear to reveal S&E processes but carry burdens of expense, intrusion, and lack of reproducibility. This review is a first step toward providing a more holistic view of measuring IDR; several avenues for future research highlight the need for metrics to reflect the actual practice of IDR. en
dc.publisher Elsevier en
dc.relation.isversionof NOTICE: This is the author’s version of a work that was accepted for publication in Journal of Informetrics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms, may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Informetrics, 5(1), January 2011, en
dc.subject Bibliometrics en
dc.subject Indicators en
dc.title Approaches to Understanding and Measuring Interdisciplinary Scientific Research (IDR): A Review of the Literature en
dc.type Article en

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