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Data Management Plans (DMP) play an important role for planning and conducting research activities and more and more researchers are facing requirements by their institution or funding agency for writing such a plan. Thereby, they are often misunderstood as an administrative task. Instead, DMPs are a powerful tool for efficient and secure collaboration and for the creation of research outputs of better quality and higher impact. A DMP will also help you to develop strategies for sharing and publishing your research data as openly as possible (and protecting them, when necessary). In this session, we will introduce the typical components of a DMP and discuss how the plan can be used actively throughout a research project. It will be targeted towards PhD students, but it will also be relevant for anyone working with research data.
Co-funded by the Erasmus+ Programme of the European Union
research data management, data management plan
research data management, data management plan
| 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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