Assessing and tracing the outcomes and impact of research infrastructures

Recent policy shifts on the part of funding agencies and journal publishers are causing changes in the acknowledgment and citation behaviors of scholars. A growing emphasis on open science and reproducibility is changing how authors cite and acknowledge "research infrastructures" -- entities that are used as inputs to or as underlying foundations for scholarly research, including data sets, software packages, computational models, observational platforms, and computing facilities. At the same time, stakeholder interest in quantitative understanding of impact is spurring increased collection and analysis of metrics related to use of research infrastructures. This article reviews work spanning several decades on tracing and assessing the outcomes and impacts from these kinds of research infrastructures. We discuss how research infrastructures are identified and referenced by scholars in the research literature and how those references are being collected and analyzed for the purposes of evaluating impact. Synthesizing common features of a wide range of studies, we identify notable challenges that impede the analysis of impact metrics for research infrastructures and outline key open research questions that can guide future research and applications related to such metrics.

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Copyright Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License

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Author Mayernik, Matthew
Hart, David
Maull, Keith
Weber, Nicholas
Publisher UCAR/NCAR - Library
Publication Date 2016-10-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2020-02-12T21:32:43.733038
Metadata Record Identifier edu.ucar.opensky::articles:18630
Metadata Language eng; USA
Suggested Citation Mayernik, Matthew, Hart, David, Maull, Keith, Weber, Nicholas. (2016). Assessing and tracing the outcomes and impact of research infrastructures. UCAR/NCAR - Library. Accessed 29 February 2020.

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