Digital Readiness Index (DRI) Dataset: Optimizing ICT4Ag Intervention Strategies in Puntland, Somalia

This dataset provides the quantitative basis for the "Digital Readiness Index" (DRI) framework used to optimize ICT4Ag interventions in post-conflict agrarian economies. Derived from a primary survey of 110 stakeholders in Puntland (Bosaso, Garowe, and Carmo), the data shifts from descriptive barrier analysis to predictive modeling. Key features of this dataset include: Normalized Pillar Scores: Hardware Agency, Usage Efficiency, and Support Synergy. Composite DRI Scores: A calculated index (0.0–1.0) representing individual and regional readiness levels. Categorized Readiness: Classification of respondents into Low, Moderate, and High readiness tiers for targeted policy intervention. This data is used to propose a tiered intervention model that addresses the "Institutional Lag" identified in Somalia’s digital agriculture transition. For a detailed explanation of the Digital Readiness Index (DRI) methodology, normalization weights for the three pillars (Hardware, Usage, and Support), and the calculation formulas used in this dataset, please refer to the included technical file: README_DRI_Dataset.txt. This document provides the necessary context for replicating the predictive model and interpreting the readiness scores.