
Data citation plays a pivotal role in advancing transparency, credibility, and collaboration within biodiversity research. It not only acknowledges the dedicated work of data collectors and curators but also streamlines the sharing and integration of invaluable biodiversity datasets. To illuminate the critical aspects of recognising and attributing biodiversity research datasets and to offer best practices for standardized dataset citation that duly recognises their creators and sources, ultimately enhancing data discoverability, reusability, and giving due credit to those managing it, we have organised a webinar, on the 20th of November 2023, in collaboration with four leading Research Infrastructures: GBIF, LifeWatch, DISSCO and eLTER, to guide users through essential techniques for effectively citing biodiversity data.
data, data citation, digital twin, research infrastructure, biodiversity
data, data citation, digital twin, research infrastructure, biodiversity
| 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 |
