1. Introductory Information:
o  Title of the dataset: Data underlying the Prototype evaluation for the thesis ALIGN TO DESIGN: NAVIGATING COMPLEXITY BY SYNCHRONIZINGTHE SYSTEM AND ITS DEVELOPMENT
Authors: G.A. Garza Morales, K. Nizamis, G.M. Bonnema
Systems Engineering and Multidisciplinary Design Group, Design, Production, and Management Department, Faculty of Engineering Technology, University of Twente
Corresponding author: K. Nizamis

Contact Information:
k.nizamis@utwente.nl
University of Twente - Faculty of Engineering Technology
Horst Complex building, number 20
PO Box 217
7500 AE Enschede
The Netherlands

*** General introduction ***
This dataset contains the coding scheme reports in detail, which were used for the thematic analysis of the prototype evaluation.
o  Content: 5 files:
	For the RESEARCH CLARIFICATION:
a) Coding Scheme factors multidisciplinary design.xlsx --> This shows the list of references used in Chapter 3 for the research clarification phase, as well as example snippets that show how the abstracts were coded to identify measurements of success, influencing factors, and solution strategies.
b) PRISMA-ScR-Checklist_AbstractReview.pdf --> filled in checklist used for the abstracts review. 

FOR THE PROTOTYPE EVALUATION:
   a) Coding Report - Thematic Analysis.xlsx --> Quotation reports for each of the seven themes identified for the evaluation of the prototype. The info tab contains the description of the coded themes.
   b) Preliminary Thematic Map.pdf --> Shows the relationships between the lower level/sub-themes that conform that evolved into the final seven themes.
   c) INFORMED CONSENT FORM _ EPLM 3-5_revised.docx --> Form that participants were given to sign in order to join our study. 
   d) psdm-api-main(1).zip --> Server Configuration Apache for the prototype
   e) psdm-spa-main(1).zip --> Project setup for the front end developed in Vue
	
2. Methodological Information:
	For qualitative insights on prototype feedback, we conducted a thematic analysis following Braun and Clarke’s guidelines [328], [329] and the software Atlas.TI version 24. Beginning with data familiarization (Step 1), we created an initial coding framework using line-by-line coding (Step 2). Codes were categorized by system concepts and implementation items (§6.3.3). In Step 3, we grouped initial codes into potential themes (see Appendix D.4). We reviewed and iterated this grouping (Step 4) for coherence, ensuring themes accurately represented the dataset, which resulted in a set of themes aligned with usability and utility. In Step 5, we clarified each theme’s essence and interrelationships, leading to the development and documentation of the final set of themes (Step 6) presented in the Results section. We did not provide participants with the transcripts for review or feedback or engage them in discussions regarding the identified themes.
	
	
3. Data-specific Information: 
	FILE: Coding Scheme factors multidisciplinary design.xlsx
	Tab "ReferenceList"--> Contains the 84 references used in the abstract review.
	Tab "CodingScheme Snippets"--> Details each code with an example snippet and the corresponding reference (paper ID), for illustration of the coding process.
	
	FILE: PRISMA-ScR-Checklist_AbstractReview.pdf --> The checklist contains 20 essential reporting items and 2 optional items to include when completing a scoping review. For more information about this document please check: https://www.prisma-statement.org/scoping

	FILES: Preliminary Thematic Map.pdf gives an overview of the low-level topics discussed during the evaluation. For more details please reviw the origin publication in https://doi.org/10.3990/1.9789036564502 
	
	FILE: Coding Report - Thematic Analysis.xlsx
	All information about the coding of the data can be found in the "info" Tab. For more details please review the origin publication in https://doi.org/10.3990/1.9789036564502 

	FILE: psdm-api-main(1).zip --> Please refer to the README file inside the zip file.
	
	FILE: psdm-spa-main(1).zip --> Please refer to the README file inside the zip file.
	
4. Sharing and Access information.
	Public Domain Dedication (CC0)
	CC0 (Creative Commons Zero) enables scientists and other creators and owners of copyright- or database-protected content to waive those interests in their works. This means that they place their work as completely as possible in the public domain, so that others may freely build upon, enhance and reuse the works for any purposes without restriction under copyright or database law. 4TU.ResearchData has adopted CC0 as the default means for researchers to share their datasets. In many cases, it can be difficult to ascertain whether a dataset is subject to copyright law, as many types of data aren’t copyrightable in many jurisdictions. Putting a dataset in the public domain under CC0 is a way to remove any legal doubt about whether researchers can use the data in their projects. This leads to the enrichment of open datasets and further dissemination of knowledge.
	Attribution: Although CC0 doesn’t legally require users of the data to cite the source, it's best practice and good science to give proper credit to the original creator(s). Be aware that not citing the research data you’re using, could be considered plagiarism, which would compromise your reputation and the credibility of your work.