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This folder cointains all materials derived from RISIS Online Methodological course on Data Quality for Research and Higher Education Studies organized by DIAG Department of Sapienza University and held from 15th to 17th of September 2020. (Presentations)
higher education studies, data quality techniques, methodological course, RISIS datasets, Python
higher education studies, data quality techniques, methodological course, RISIS datasets, Python
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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