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Good research data management is of great importance for high quality research. Implementing professional research data management from the start helps avoiding problems in the data creation and curation phases. The webinar is meant for future trainers, who will get acquainted with different methods of sharing information and knowledge with different target groups. "RDM Community training" will provide participants with an improved awareness of the different aspects involved in Research Data Management. Content Definition(s) of RDM Benefits and Advantages of RDM Research Data Life-Cycle Structure and components of RDM Stakeholders Recommended literature Note: The video is also available for viewing on Youtube.
| 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 |
| views | 6 | |
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