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Data Train is a training programme at the doctoral level in research data management (RDM) and data science developed and delivered by the U Bremen Research Alliance with financial support of the German Federal State of Bremen. The U Bremen Research Alliance is a regional network that brings together the University of Bremen and twelve non-university research institutes in order to strengthen the cooperation in different research areas and scientific fields in the German Federal State of Bremen. This good practice is part of a collection presented in the report "Good Practices in FAIR Competence Education", which aims to provides universities with points of inspiration and practical examples of how fellow institutions and organisations in the higher education sector addressed the need for more RDM and FAIR data-related skills to be taught at the bachelor, master and doctoral levels. The report was developed in the framework of the Fostering FAIR Data Practices in Europe (FAIRsFAIR) project.
Higher Education Institutions (HEIs), data stewardship, research data management, FAIR, universities
Higher Education Institutions (HEIs), data stewardship, research data management, FAIR, universities
| 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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