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Proper Research Data Management (RDM) is beneficial for quality of scientific practice, can be time and cost-efficient, and provides recognition for all research outputs. It is therefore important to familiarise yourself with information and tools that are available to manage your data during various stages of your research. In this workshop, you will be introduced to RDM concepts, such as FAIR principles, Data Management Plans (DMP) and data archiving. This will be followed by a hands-on experience with various platforms enabling good RDM practices (Data Stewardship Wizard, DMPonline, FAIR assessment tool), for which you should bring your own mobile device.
FAIR principles, Research Data Management, Data Repository, Data Management Plan, Data Stewardship, DMP, FAIR
FAIR principles, Research Data Management, Data Repository, Data Management Plan, Data Stewardship, DMP, FAIR
| 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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