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Final update
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kequach committed Oct 28, 2022
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9 changes: 7 additions & 2 deletions tex/chapters/6_conclusion.tex
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%!TEX root = ../dissertation.tex
\titlespacing{\chapter}{0pt}{-60pt}{0pt}
\chapter{Conclusion}
\label{chap:conclusion}
\enlargethispage{\baselineskip}
This study aimed to identify how open source publications on GitHub can be used to infer actionable recommendations for \acrshort{rse} practice to improve the research software landscape of an organization.
In order to do so, we reviewed the \acrshort{fair} principles, identified suitable variables to measure FAIRness, and conducted an exploratory data analysis.
The quantitative analysis was applied to \acrshort{uu} to determine different characteristics in the faculties, support for the application of \acrshort{fair} variables, and how well research software can be identified.
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The \acrshort{fair} data analysis for GitHub allows \acrshort{uu} to make data-based decisions, as a first analysis of the research software landscape at \acrshort{uu} and a first labelled dataset for reuse were provided.
This has not only confirmed and refuted beliefs in existing literature, but also provided novel findings and recommendations, as well as laid the foundation for repeated analyses of this kind. The recommendations include expanding the R café, creating \acrshort{fair} reference documents, featuring and highlighting high impact and FAIR research software, and creating yearly reports.
Additionally, the \acrshort{swordsuu} framework was extended with additional validated \acrshort{fair} variables.

There are several topics for future work, which are explained in detail in \autoref{chap:discussion}. Data collection can be improved in several ways, analysis can be extended and applied to more variations of subpopulations, and classification of research software can be refined.
We conclude that the conducted analysis allows us to infer actionable recommendations for \acrshort{rse} practice and encourage others to reuse and improve the method.
We conclude that the conducted analysis allows us to infer actionable recommendations for \acrshort{rse} practice and encourage others to reuse and improve the method.



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1 change: 0 additions & 1 deletion tex/masterthesis.bib
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note = {(accessed 2022-10-08)},
file = {Snapshot:C\:\\Users\\beld\\Zotero\\storage\\9EQC3V52\\r-data-cafe.html:text/html},
}

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