| Autor: |
Guler AT; Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands., Waaijer CJ; Faculty of Social and Behavioural Sciences, Centre for Science and Technology Studies, Leiden University, Leiden, The Netherlands., Palmblad M; Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands. |
| Jazyk: |
angličtina |
| Zdroj: |
Scientometrics [Scientometrics] 2016; Vol. 107, pp. 385-398. Date of Electronic Publication: 2016 Feb 15. |
| DOI: |
10.1007/s11192-016-1885-6 |
| Abstrakt: |
Scientific workflows organize the assembly of specialized software into an overall data flow and are particularly well suited for multi-step analyses using different types of software tools. They are also favorable in terms of reusability, as previously designed workflows could be made publicly available through the myExperiment community and then used in other workflows. We here illustrate how scientific workflows and the Taverna workbench in particular can be used in bibliometrics. We discuss the specific capabilities of Taverna that makes this software a powerful tool in this field, such as automated data import via Web services, data extraction from XML by XPaths, and statistical analysis and visualization with R. The support of the latter is particularly relevant, as it allows integration of a number of recently developed R packages specifically for bibliometrics. Examples are used to illustrate the possibilities of Taverna in the fields of bibliometrics and scientometrics. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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