
This session introduces the concept of the data lifecycle in research, highlighting its relevance for the life sciences. Participants will revisit key Research Data Management (RDM) principles and explore the FAIR approach to data. The session will outline the roles and responsibilities of data stewards across each stage of the lifecycle. Emphasis will be placed on practical tasks, from data collection and processing to sharing and preservation. By the end, attendees will recognise how data stewards enable sustainable and reusable research data.
| 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 |
