
During two webinars we find out more about implementation of FAIR principles in everyday work of a researcher. This gives introduction to some of the most significant aspects to make your research data FAIR. Second session covers metadata standards and related controlled vocabularies to describe, document and support search for your data, as terms describing sampling and other characteristics of methods used. The purpose and key aspects of data management planning will be explained, how to prepare a consent form, and where to find support and where to publish data. The inventory of related materials will be presented needed for proper documentation of the research project as a context where the data is produced, in order to enable informed reuse. Importance will be emphasised of computer code sharing that enable reproducibility of published research results, which is a growing requirement of scientific journals.
| 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 |
