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Purpose-oriented metrics to assess researcher quality

Purpose-oriented metrics to assess researcher quality

Authors: Kedma Duarte, Rosina Weber, Roberto C. S. Pacheco

ABSTRACT

This paper contributes, illustrates, and evaluates a purpose-oriented method to assess quality of researchers, It is in selection processes such as recruitment that assessing the quality of researchers becomes necessary. Because quality is fitness for use, we contend that assessing the quality of researchers depends on references of quality imposed by the purpose of the selection process that motivates the need for assessment (henceforth target selection process). Our purpose-oriented method meets all requirements from The Leiden Manifesto for Research Metrics. We illustrate the method acquiring quality references form exemplars of researchers. These exemplars are presented as curriculum vitae of researchers (CVs) labeled as fit or unfit to target selection processes (i.e., binary quality assessment). We show two different target selection processes. The first considers fit researchers who are successful in collaborative endeavors, and thus are expected to succeed in collaborative research The second considers fit researchers who are successful in solo endeavors, and thus are expected to succeed in solo research, We demonstrate that, on average, a classifier trained with data using quality references for a specific purpose (i.e., tailored to the peculiarities of their context) is more accurate than a purpose-independent classifier that does not consider the context of its target selection process.

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