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Presentation given at MMS Days 2023, ATB Potsdam, 2023-04-17. There is growing acknowledgment that software constitutes a valid research output. As such, it must be made available under the FAIR Principles for Research Software (FAIR4RS). Software publication with rich metadata allows researchers to provide their software in such a way, thus enabling better reproducibility of research results obtained using software, more credit for research software creators through citation, and improved sustainability. Currently, FAIR software publication is not common practice due to a lack of incentives, of clearly defined processes, and of publication support through tools and infrastructures. This talk presents the context of, and practical approaches to, automated FAIR4RS software publication: improving citation metadata for research software with the Citation File Format, and automating software publication with rich metadata using the HERMES workflow for continuous integration systems.
FAIR for Research Software, software publication, software citation, Citation File Format, HERMES
FAIR for Research Software, software publication, software citation, Citation File Format, HERMES
| 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 |
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