Data underlying the publication: Why is there complexity in engineering? A scoping review on complexity origins.

This dataset contains the data from the identification, screening, and selection of the papers for a Systematic Scoping Review into Complexity Origins in the context of Systems Engineering and Engineering Design. It also contains the coding scheme and the code-document analysis reports in detail.o Content: 4 files:   a) Paper analysis_ComplexityOrigins_Final.xlsx --> Records of the paper identification, screening and selection process.   b) Code-Document Report and Coding Scheme Complexity Origins.xlsx ---> Code-Document report details the 72 documents and the Final code groups assigned to each one in binary representation. This information was used to quantify the identified complexity taxonomy. Description of the individual codes can be found in the main publication: Why is there complexity in engineering? A scoping review on complexity origins (10.1109/SysCon53073.2023.10131068) and is included in detail in the sheet called: "info"   The following tabs contain all the quotations per code group and the respective information of the document of origin. Each of these quotes constitute the binarized results shown in the Code-Document tab.   c) ComplexityOrigins_ScopingReview.qdpx ---> Source file obtained from Atlas.TI QDA (qualitative data analysis) software. This file has all the documents and coding used for our review. allows to move entire projects from one software to another. The standard exchange file is XML based and therefore not just allows specialised QDA software to open it but allows any software that is able to process XML to access the data.d) PRISMA-ScR-Checklist_ComplexityOrigins.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

本数据集收录了针对**系统工程与工程设计场景下复杂性起源**开展系统性范围综述（Systematic Scoping Review）时，相关文献的识别、筛选与遴选过程数据，同时包含详细的编码方案与编码-文档分析报告。
本数据集共包含4个文件：
a) 《Paper analysis_ComplexityOrigins_Final.xlsx》—— 记录文献识别、筛选及遴选全流程的相关数据。
b) 《Code-Document Report and Coding Scheme Complexity Origins.xlsx》—— 该编码-文档报告详细涵盖72份文献，以及以二进制形式为每份文献分配的最终编码组信息，该数据被用于量化已识别的复杂性分类体系。单个编码的详细说明可参见主发表论文《Why is there complexity in engineering? A scoping review on complexity origins》（DOI: 10.1109/SysCon53073.2023.10131068），并在名为"info"的工作表中完整呈现。其余工作表则包含各编码组对应的全部引文，以及来源文献的相关信息，这些引文即为《Code-Document》工作表中展示的二值化结果。
c) 《ComplexityOrigins_ScopingReview.qdpx》—— 源自Atlas.ti定性数据分析（qualitative data analysis, QDA）软件的源文件，包含本次综述所用的全部文献与编码信息。该文件支持项目在不同软件间完整迁移，其标准交换格式基于XML，因此不仅可通过专业定性数据分析软件打开，也可被所有支持XML处理的软件读取数据。
d) 《PRISMA-ScR-Checklist_ComplexityOrigins.pdf》—— 该清单包含范围综述撰写时需纳入的20项必报条目与2项可选条目。如需了解该文档的更多信息，请访问：https://www.prisma-statement.org/scoping