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In our daily work, small self-made scripts, home-grown small applications and small hardware devices significantly help us to get work done. These little helpers - "little minions" - often reduce our workload or optimise our workflows, although they are not often presented to the outside world and the research community. Instead, we generally focus on presenting the results of our research and silently use our small tools to generate these, without not even pointing to them, especially to the source code or building instructions. In archaeology, research software is underrepresented in conference talks as well as in research publications. We have to promote these little minions in the RSE community and make them visible. That is why we created a Working Group for Little Minions at the CAA (https://caa-international.org) conference for digital archaeological research and created a session that focus on these "little minions" and invite researchers to share their little helpers, so that the scientific community may benefit and - perhaps - create spontaneously special minion interest groups. In such a minion session we are focussing on lightning talks - aka "minion talks" - where a wide range of tools are shared. Each "minion talk" explains the innovative character and mode of operation of the digital tool. Open Science is the aim of the little minions. Therefore, our aim is that all minions are non-proprietary, open and freely available (e.g. GitHub, GitLab, etc.). The last are not obligatory and tools that are not (yet) available can also be accepted.A constantly expanding list of little minions can be found at https://github.com/caa-minions/minions. In this poster we will present our concept to promote research software at scientific conferences and share our experience on the idea.
Archaeology, Little Minions, Research Software Engineering
Archaeology, Little Minions, Research Software Engineering
| 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). | 1 | |
| 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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