Dataset supporting QHE_PPPC mapping and bibliometric analysis in Quality in Higher Education

This dataset supports the study on PPPC-QHE mapping and bibliometric analysis of quality in higher education. It provides materials used for search strategy development, conceptual refinement of quality notions, and inter-rater reliability assessment. The dataset includes three components: 1. PRISMA Search Strategy:Details of keyword development, database searches, hand-searching, snowballing, and study selection in line with PRISMA 2020 guidelines. 2. Keyword and Conceptual Refinement:List of papers used to refine quality notions, including their conceptual contributions and role in validating existing notions or developing the sixth notion. 3. Fleiss’ Kappa Calculation:Inter-rater agreement data for keyword classification across Presage, Process, Product, and Core dimensions, including item-wise agreement (Pi), observed agreement (Po), expected agreement (Pe), and Fleiss’ Kappa. These data enhance transparency and reproducibility of the research process. Additional supporting materials (e.g., VOSviewer preprocessing files and extended datasets) are not included, as their analytical outcomes are fully reported in the manuscript and appendices. Data may be made available upon reasonable request.本数据集用于支撑高等教育质量的PPPC-QHE映射研究与文献计量分析，提供了用于构建检索策略、细化质量概念以及评估评分者间信度的相关材料。 本数据集包含三个组成部分： 1. PRISMA检索策略：详述了符合PRISMA 2020指南的关键词构建、数据库检索、手工检索、滚雪球检索以及文献筛选的具体细节。 2. 关键词与概念细化：收录了用于细化质量概念的相关文献，包括其概念贡献，以及在验证现有概念或构建第六种质量概念中所发挥的作用。 3. 弗莱伊斯Kappa系数（Fleiss’ Kappa）计算：收录了针对预设（Presage）、过程（Process）、结果（Product）与核心（Core）四个维度的关键词分类的评分者一致性数据，包括分项一致性（item-wise agreement, Pi）、观测一致性（observed agreement, Po）、期望一致性（expected agreement, Pe）以及弗莱伊斯Kappa系数。 上述数据可提升研究流程的透明度与可重复性。 本数据集未包含额外辅助材料（如VOSviewer预处理文件与扩展数据集），因其分析结果已在论文正文及附录中完整呈现。如有合理需求，可提供相关数据。