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Merge pull request #146 from mhagdorn/mh-complexity-habitat
complexity habitat
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paper.tex

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@@ -112,6 +112,13 @@ \section{Motivation for central RSE units}
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Tasks that Research Software Engineers (RSEs) perform include training, \eg{} to improve the quality of code produced by researchers~\autocite{Ostlund2023}, consultation services, \eg{} regarding frameworks or algorithm selection, and the development of existing or new software.
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For an overview of typical tasks of RSEs and the competencies required, see~\autocite{goth_foundational_competencies_2024}, especially section\ 4.4:\ “RSE tasks and responsibilities”.
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Research software is getting increasingly complex.
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This is partly because the scientific problems being tackled using software
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are getting bigger.
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However, the software is also expected to be reliable, secure and easy to use.
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Handling this increased complexity whilst ensuring timely delivery requires
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dedicated RSEs in central RSE units.
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\subsection{Pooling: a necessary ingredient}
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The main focus of this paper lies on central RSE teams since the benefits of RSEs to research in general are described elsewhere, \eg{} in~\autocite{Anzt2021}.
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The main advantages of central RSE units all stem from the pooling of resources.
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A central RSE team can, due to its proximity to research, much better listen to the wishes expressed by researchers and then help formulate needs and act as a channel to either fulfil them themselves or reformulate and redirect the request.
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The results are increased research speed and quality and, with that, a higher reputation of the entire research organisation.
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Working in a research institution is very stimulating.
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However, an embedded RSE can feel very lonely when they do not have anybody to
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discuss technical problems.
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A central RSE unit also provides a social space for RSEs where this exchange
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can easily happen.
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\subsection{Pooling: an already tested idea}
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The idea to pool resources in specific areas within an organisation is not new.
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For example, similar arguments can and have been made for research data support.

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