
The report summarizes the review of the RItrainPLUS training courses offered in 2023 and 2024. It provides comprehensive analysis based on registration data, course evaluations, as well as a post-course survey and interview study, to assess how participants judged the courses, why they selected them, and which issues emerged when comparing the goals of RItrainPLUS with participants’ expectations. Overall, the courses achieved a high level of participant satisfaction, although some organizational issues were noted. This indicates that the program was successful for those who attended. At a strategic level, however, the program did not only attract the core community of managers of research infrastructures and core facilities, but also a substantial number of operators and other associated staff. This raises structural questions for future iterations: should the program broaden its scope or become more selective regarding participants and offer more tailored content? The data analyzed suggests that both approaches have potential to strengthen the research infrastructure landscape.
Europe, Interviews as Topic/methods, research infrastructure, Training, Survey, Program Evaluation
Europe, Interviews as Topic/methods, research infrastructure, Training, Survey, Program Evaluation
| 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 |
