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This is evidenced by the work already done in sub case study 4 through the work of Simonsen [40].
Sub case study 3 has been an ongoing work parallel with the writing of this article, and it is expected that the total amount of time used on the data analysis in the case will amount to about 2 months.
Simonsen [40] also contributed to sub case study 1, which included less resource use than study 4. The reason seems to be that quantitative analyses are based on more comprehensive data sets, which makes data gathering, data screening and data analysis more time consuming.
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These sub case studies are explained more in detail below.
Some of these sub case studies are already underway and results are available.
This led to a branching out of the case study into smaller sub case studies focusing on specific parts.
We found it necessary to create three dedicated sub case studies to cover all the scenario specifics.
If one of the sub case studies is ignored, it can impact the representativeness of a scenario, and may render it non-relevant.
Besides showing the importance of using both quantitative and qualitative approaches, the case study shows that all of the described sub case studies are relevant for describing the main scenarios.
In the following, the financial and resource use of the core research group and the project group are discussed, and the sub case studies and their expected results are explained in more detail.
It is estimated that the two authors used three to four weeks of combined work in total for producing Table 3 results and setting up all the sub case studies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com