Expert Validation Data: Ethical AI Security Framework (EASF) for Educational Institutions

This dataset accompanies the manuscript "Cybersecurity and Protection of Educational Organizations: A Systematic Survey with an Ethical Framework for AI-Enhanced Security" (Abdelhady & Alzahrani, 2026), submitted to Scientific Reports. The deposit contains three files:1. EASF_Expert_Validation_Raw_Data_Anonymized.csv — anonymized item-level responses from 18 domain experts across 23 Likert-scale items and four open-ended qualitative questions.2. EASF_Expert_Validation_Aggregated_Results.xlsx — aggregated quantitative statistics (item-level, pillar-level, full-instrument CVI and Cronbach's Alpha) and qualitative theme summaries across four open-ended questions.3. EASF_Expert_Validation_Survey_Instrument.pdf — the complete survey instrument (Supplementary File S1). Expert identities are replaced with sequential codes (E01–E18). No names, emails, or timestamps are included in any file.