There is a clear need for performance measures related to research productivity. But which types of content and metrics should be included in such measures? What do reasonable performance measures look like, and how should they be applied? Many advocates of new metrics state that measurements need to be more quantitative and objective. Others argue that qualitative metrics capture critical aspects about a researcher's overall effectiveness.     We propose that no single metric is adequate to capture the true dynamics of a researcher's productivity, but that an approach combining qualitative and quantitative metrics can lead to a reasonable and standards-based approach to evaluating research productivity. We would like to speak on a matrix created by Elsevier's bibliometric expert that provides the evaluator with a flexible framework to identify which elements are measured and which metrics to use, and shows how the purpose of the evaluation helps to determine the structural elements of the assessment.

Next era of research productivity evaluation:  A multidimensional research assessment framework

243rd National Meeting (2012)

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