
In the natural sciences, the "re-" in research is often the difference between a single-use data point and a lasting scientific legacy. While traditional biology once relied on physical archives, isolated field notes, and static papers, the modern era demands a transition to digital ecosystems where data is Findable, Accessible, Interoperable, and Reusable (FAIR). This session, hosted by the Royal Belgian Institute of Natural Sciences, explores how we ensure a long-lasting legacy for biological research and datasets. We will move beyond the theory of archiving to the practical implementation of FAIR Principles. By implementing the FAIR principles (Findable, Accessible, Interoperable, Reusable), we ensure that biological observations—from genomic sequences to 19th-century museum specimens—remain machine-actionable and ready for re-discovery.
FAIR Principles, Rediscovery, Biological archives
FAIR Principles, Rediscovery, Biological archives
| 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 |
