Automated Research Impact Assessment: a new bibliometrics approach
| Autor: | Fallis Owen Finch, Kristianna G. Pettibone, Christina H. Drew, Paul Jordan, Douglas Giles |
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| Rok vydání: | 2016 |
| Předmět: |
Research evaluation
Program evaluation Bibliometric analysis Computer science Impact assessment 05 social sciences General Social Sciences Library and Information Sciences Bibliometrics 050905 science studies Data science Article Computer Science Applications Resource (project management) Funding source Benchmark (surveying) 0509 other social sciences 050904 information & library sciences |
| Zdroj: | Scientometrics. 106:987-1005 |
| ISSN: | 1588-2861 0138-9130 |
| Popis: | As federal programs are held more accountable for their research investments, The National Institute of Environmental Health Sciences (NIEHS) has developed a new method to quantify the impact of our funded research on the scientific and broader communities. In this article we review traditional bibliometric analyses, address challenges associated with them, and describe a new bibliometric analysis method, the Automated Research Impact Assessment (ARIA). ARIA taps into a resource that has only rarely been used for bibliometric analyses: references cited in "important" research artifacts, such as policies, regulations, clinical guidelines, and expert panel reports. The approach includes new statistics that science managers can use to benchmark contributions to research by funding source. This new method provides the ability to conduct automated impact analyses of federal research that can be incorporated in program evaluations. We apply this method to several case studies to examine the impact of NIEHS funded research. |
| Databáze: | OpenAIRE |
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