
This handy cheat sheet summarizes best practices in file naming and documentation to help with making your data FAIR (findable, accessible, interoperable and reusable). Using standardized files names and a consistent documentation does not only help you find, understand and possibly reuse your data after weeks or months, it also help others make sense of your data and thus makes it more likely to be reused and referenced by others.
data literacy, file naming, FAIR principles, Datenkompetenzzentrum, research data management, data literacy center, documentation
data literacy, file naming, FAIR principles, Datenkompetenzzentrum, research data management, data literacy center, documentation
| 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 |
