Rework of introduction to chapter Motivation

Author: jlinx

paper.tex

@@ -87,20 +87,20 @@ \section{Motivation}
 Several stakeholder perspectives are discussed and supported by (inter)national examples, including that of RSEs within RSE groups, RSEs embedded in research groups, Researchers in need of RSE resources, organizational management and that of funders.
 
 Research Data Management has proved to benefit data quality through training researchers, the reusability through data repositories and to avoid duplication of effort.
-[TODO elaborate parallels to RDM SuccessStory] For over a decade, research funders and organizations made a significant effort to establish RDM and teams around it.
-[TODO: should we list examples of RDM teams?] See for example the Utrecht University Research Data Management Support~\autocite{UtrechtRDM}, University of Stuttgart FoKUS team~\autocite{Boehlke2024} or TUBS.researchdata~\autocite{Grunwald2022} at TU Braunschweig.
+For over a decade, research funders and organizations made a significant effort to establish RDM and teams around it, See for example the Utrecht University Research Data Management Support~\autocite{UtrechtRDM}, University of Stuttgart FoKUS team~\autocite{Boehlke2024} or TUBS.researchdata~\autocite{Grunwald2022} at TU Braunschweig.
 We assume that research software will follow a similar trajectory.
-\footnote{For arguments why research software is unlike data, see \autocite{Lamprecht2020}.}
+\footnote{For arguments when research software is unlike data, see \autocite{Lamprecht2020}.}
 While we focus on Germany here, it is beneficial to review how other countries approach research software.
 In the UK, for example, many universities started initiating dedicated RSE departments about a decade ago~\autocite{Crouch2013}.
-The successful establishment of such staff roles is a role model for similar academic organizations worldwide.
+The successful establishment of such staff is a role model for similar academic organizations worldwide.
 A range of already-existing departments can be seen in this map: https://society-rse.org/community/rse-groups/ 
 
 Policies for research software management and guidelines involving responsible research practices detailing software handling are the precursors for a research software engineering environment.
 See for example position papers by the Helmholtz Open Science Office~\autocite{Helmholtz2019a,Helmholtz2019b},
 the AllianzInitiative~\autocite{Konrad2021},
 the University Utrecht~\autocite{Utrecht2016b},
 and the German Research Council~\autocite{dfg_gsp}.
+%% TODO: Double-check that DLR guidelines are referenced.
 
 \subsection{Tasks}