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，提供了用于检索策略开发、质量概念细化以及评分者间信度评估 (inter-rater reliability assessment) 的相关材料。 本数据集包含三个组成部分： 1. PRISMA检索策略：遵循PRISMA 2020指南，详述关键词构建、数据库检索、手工检索、滚雪球法筛选及文献遴选的具体流程。 2. 关键词与概念细化：收录用于细化质量概念的相关文献，包括其概念贡献，以及在验证既有概念或衍生第六类概念过程中所发挥的作用。 3. Fleiss’ Kappa系数计算：涵盖Presage、Process、Product、Core四个维度下的关键词分类评分者间一致性数据，包括分项一致性（Pi）、观测一致性（Po）、期望一致性（Pe）及Fleiss’ Kappa系数。 上述数据可提升研究过程的透明度与可复现性。 本数据集未包含额外辅助材料（如VOSviewer预处理文件及扩展数据集），因其分析结果已完整刊载于论文及附录中。如有合理申请，可按需提供相关数据。