Dataset for: Development and content validation of the Multidimensional Multiple Sclerosis Fatigue Scale (MMFS).

his dataset contains the expert consensus data from the development and content validation of the Multidimensional Multiple Sclerosis Fatigue Scale (MMFS). The study utilized a rigorous two-round Delphi methodology to evaluate a comprehensive clinical tool designed to assess the multidimensional nature of fatigue in individuals with multiple sclerosis (MS). The dataset includes: Anonymized demographic and professional characteristics of the multidisciplinary panel of 16 clinical experts (physiotherapists, occupational therapists, and a neurologist). Quantitative expert ratings (using a 4-point Likert scale) assessing the clinical relevance of 36 preliminary scale items across five theoretical domains: Fatigue Triggers, Fatigue Types, Fatigue Impact, Fatigue Patterns, and Fatigue Awareness & Control. The Delphi process resulted in a final, highly validated 35-item scale. This dataset supports the findings published in the associated manuscript and is made available to ensure research transparency and reproducibility. Note: All participant data has been fully anonymized to protect the identities of the expert panelists.本数据集收录了多维多发性硬化疲劳量表（Multidimensional Multiple Sclerosis Fatigue Scale, MMFS）开发与内容效度验证环节的专家共识数据。本研究采用严谨的两轮德尔菲（Delphi）法，对一款专为评估多发性硬化（multiple sclerosis, MS）患者疲劳多维特征而设计的综合临床工具开展评测。 本数据集包含以下内容： 1. 经匿名化处理的16位多学科临床专家（含物理治疗师、作业治疗师及1名神经科医师）的人口统计学与职业特征数据； 2. 专家定量评分数据：采用4级李克特（Likert）量表，对覆盖疲劳诱因、疲劳类型、疲劳影响、疲劳模式、疲劳觉知与控制5个理论维度的36项预编制量表条目进行临床相关性评估； 3. 经德尔菲流程最终形成的经过高度验证的35条目版量表。 本数据集可支撑关联学术论文已发表的研究结论，公开本数据集旨在保障研究透明度与可重复性。 备注：所有参与者数据均已完成完全匿名化处理，以保护专家委员会成员的身份信息。