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The Research Software Alliance's (ReSA) mission is to bring research software communities together to collaborate on the advancement of research software. Given the ReSA mission, it is important to understand the landscape of communities involved with research software. In 2020, ReSA completed an initial exercise to scope the international research software community landscape. This work was reported by ReSA's Software Landscape Analysis task force via a blog post. The majority of the communities in the previous analysis represented the global north. To improve the extent of this landscape analysis, ReSA announced a paid opportunity for short-term contractors located in the global south to collect data on communities and funders in their region in early 2022. This document describes how the work was undertaken, a summary of findings, the gaps and opportunities perceived by the data collectors and some highlights. This work identified 126 organisations and communities and 62 funder bodies that support research software in the global south. Their main activities are connecting people, training, and networking, and support through research grants. To add to the funders list please fill in the following form: https://forms.gle/CJWo24MUCjhWKh9U8 To add to the communities list please fill in the following form https://forms.gle/KJE9vkBnM6vhh7cEA Please cite this work as: Martinez, Paula Andrea. (2022, October 10). The Research Software Community Landscape in the Global South. Zenodo. https://doi.org/10.5281/zenodo.7179892 Martinez, Paula Andrea. (2022). Research Software Communities Global South [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7179807 Martinez, Paula Andrea. (2022). Research Software Funders Global South [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7179867
This work was supported by the Wellcome Trust grant [222436/Z/21/Z]
ReSA, research software, landscape, report
ReSA, research software, landscape, report
| 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). | 2 | |
| 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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| downloads | 17 |

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