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Research software is the unsung hero of modern science. Yet it often plays second fiddle to traditional scholarly outputs such as journal articles. As research grows increasingly computational, the need to recognise software contributions becomes imperative. However, there are a number of challenges that must be overcome to achieve this. How do we measure and extend the impact of research software? How do we integrate it into academic evaluations? A set of answers may be found through policy-related activities, including advocacy, organising, and research. Building on discussions in the US Research Software Sustainability Institute (URSSI), including a number of workshops and an implementation plan that URSSI developed, we've created a set of possible activities aimed at elevating the role of research software in academic career paths, recognition, and beyond. As part of the Alfred P. Sloan-funded URSSI Policy project, we've assembled 44 of these ideas as a starting point, and we've posted them as issues in GitHub. This blog article introduces these ideas and encourages people to contribute.
URSSI, Research policy, Software sustainability, Career paths, Public software, Research software, Research systems, Diversity and inclusion, Science systems, ReSA, Research funding, DEI, Software maintenance, Software funding
URSSI, Research policy, Software sustainability, Career paths, Public software, Research software, Research systems, Diversity and inclusion, Science systems, ReSA, Research funding, DEI, Software maintenance, Software funding
| 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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