
This research data management (RDM) cheat sheet on FAIR data is part of a series of RDM cheat sheets published by the RDM Network at the University of Basel that provide a quick reference guide for best practices in handling research data. This document is aimed primarily at members of the University of Basel. It is a revised version of a cheat sheet on the same topic published in 2019, with updated content and design. Key contributors to the content revision were: Tamara Ackermann, Christina Besmer, Fabian Felder, Stephanie Heinrich and Iris Lindenmann. Cédric Delay did the layout. The original version was mainly created by Sofia Georgakopoulou.
Cheat Sheet, FAIR data, Research Data Management, University of Basel
Cheat Sheet, FAIR data, Research Data Management, University of Basel
| 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 |
