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Matrix meets Data Fellows – Learning Objectives as a Starting Point for the Development of Trainings for (Future) Data Stewards was presented during Fellowship of the Data 2025 in Jena. The presentations points out to the matrix of learning objectives for research data management (https://doi.org/10.5281/zenodo.7034477) as a structured framework to support the design and evaluation of training initiatives in the field of RDM. Given the evolving nature of the Data Steward role and the increasing demand for tailored, skill-based trainings in handling research data, the matrix offers an adaptable tool for training developers and institutions. This presentation introduces the matrix as a community product and discusses its potential use in practice-oriented education and professional development. A LiaScript rendered version of this presentation is available here.
Data Steward, Learning objective, RDM, Research Data Management, Training
Data Steward, Learning objective, RDM, Research Data Management, Training
citations 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 |