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Research software are vital outputs of the research endeavour. They are often integral to the generation of research data, and rely on the same technical and social infrastructure to disseminate, cultivate, and coordinate activities. While adherence of research software to the ideals of openness and FAIRness should be per se intellegitur, only recently have efforts been started to ensure they are afforded the same long-term preservation and stewardship as other research outputs. However, research software engineers are yet to view making their software FAIR and Open as normative and in their interests. The value of adding PIDs to research software to expose both citation metrics and their interconnections with other research entities is expected to increase researcher buy-in and drive change. In her presentation, Gabi shows how DataCite supports research software as a resource type. A recording of the presentation can be found at: https://www.youtube.com/watch?v=LaUdaQ-lI1E&t=1294s
webinar, metadata, research software, resource types, DataCite
webinar, metadata, research software, resource types, DataCite
| 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 |
| views | 92 | |
| downloads | 81 |

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