
Research data management (RDM) is becoming increasingly important in all stages of the research process. This webinar will provide an overview of research data management in the social sciences and offer an introduction on how to implement best practices throughout the research data life cycle – from planning to publishing. Specifically, the webinar covers the following aspects including guidance and where to find more information:• What is a data management plan (DMP) and what should it contain?• How to make your data FAIR (Findable, Accessible, Interoperable, Reusable)? How to choose a repository?• What are personal data and how can you handle them?After completing the webinar, participants:• Understand that RDM is essential in every step along the research data life cycle• Be able to identify personal data and know some basics of how to handle them• Know how FAIR data are defined and have an idea how to comply• Understand why a DMP is important• Know on what criteria to choose a repository
| 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 |
