
Training course for GlyCanDrug Seville Nov. 21 2025 (with InnovationActa). This course focuses on data management basics, as “good research needs good data”. The modules will follow the 3-step concept, according to the principle “as open as possible, as closed as necessary”: a) manage your data b) make them FAIR c). whenever possible, make them Open. Further, the course emphasizes development of skills related to data stewardship, which is crucial in the making of the EOSC, as FAIR data are EOSC’s building blocks. Module 1: data management basics Module 2: FAIR principles + Open Module 3: Data Management Plans
FAIR data management
FAIR data management
| 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 |
