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doi: 10.5281/zenodo.17626
Open Science is a broad movement looking beyond Open Access to publish openly and share scientific research immediately. Accessibility is addressed on all levels for everyone, without fees. This short course forms Part III in the Short Course series 'Open Science goes Geo'. Part III covers various forms of research results including algorithms, numerical models, geo-samples, virtual workspaces, and further aspects of Open Science such as metrics, persistent identifiers, and unambiguous linking of research results to scientists. Open Science not only deals with Open Access papers but scientific research results in general including figures, data, models, algorithms, software, tools, notebooks, laboratory designs, recipes, samples and much more. Furthermore, it covers the communication, review, and discussion of research results and considers changing needs regarding incentives, quality assessment, metrics, impact, reputation, grants and funding. Thus Open Science encompasses licensing, policy-making, infrastructures and scientific heritage while safeguarding the dynamic nature of science and its evolving forms. However, this short course is meant not to carry too far with Open Science. Rather, the short course looks at what innovative ways to collaborate and share research are possible nowadays and how they can be applied to the geosciences. The speakers present Open Science solutions and introduce networks. It is aimed to show how researchers can benefit from Open Science in various flavors, acknowledging the drawbacks and highlighting the opportunities available for geoscientists.
'Open Science goes Geo - Part III: Beyond Data and Software' is a Short Course held at the European Geosciences Union General Assembly 2015. The talks are available at YouTube: https://www.youtube.com/playlist?list=PLhQpA_m5ywcgtFBvX6Ua5HFmpe0EfQixG
Open Science, e-Infrastructures, eScience, Research Infrastructures
Open Science, e-Infrastructures, eScience, Research Infrastructures
| 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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