Data underlying the publication: Engineering Complexity Beyond the surface - Discerning the Viewpoints, the Drivers and The Challenges

doi:10.4121/21708260.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21708260
Datacite citation style:
Garza Morales, Gisela; Nizamis, Kostas; Bonnema, G. Maarten (2024): Data underlying the publication: Engineering Complexity Beyond the surface - Discerning the Viewpoints, the Drivers and The Challenges. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21708260.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Supplementary Material for article Engineering Complexity Beyond the surface. 


This dataset contains the data from the identification, screening, and selection of the papers for a Systematic Mapping Study (SMS) into the Coverage of Complexity Viewpoints, Drivers, and Challenges in the context of Systems Engineering and Engineering Design. These three items are defined in the main publication. It also contains the coding scheme and the code-document analysis reports in detail.


Table with detailed references resuting from Systematic Mapping Study on Complexity Viewpoints

history
  • 2024-12-30 first online, published, posted
publisher
4TU.ResearchData
format
xlsx, pdf, docx, and qdpx
funding
  • EPLM 2.0 (grant code PROJ-00729) European Funds for Regional Development (EFRO)
organizations
University of Twente, Faculty of Engineering Technology, Department of Design, Production and Management

DATA

files (14)