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The data that are generated or collected at Research Infrastructures can be very complex. In Social Sciences and Humanities there are multimedia, multilingual sources, and data collections can be surveys, panels, events, or based on registries and contain thousands of variables. To use these data, a newcomer needs training – on the structure, on caveats, on previous results. Such training is part of the SSHOC project and we will give a brief introduction where and how this training can be found. This presentation was part of the Social & Cultural Data – taking the Users’ Perspective session on 28 November 2019 at the EOSC Symposium in Budapest, Hungary.
EOSC, Open Science, SSHOC, Training
EOSC, Open Science, SSHOC, Training
| 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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