A Process-Documentation Framework for Democratizing National Faculty Development Programme in Generative AI via Open Science: A National Readiness Framework

Faculty Development Programmes (FDPs) are critical for establishing national capability in Artificial Intelligence (AI) and Generative AI. However, due to their scale and policy relevance, the experiences FDPs represent are rarely documented in an accessible, reproducible way, resulting in a loss of scholarly value for governance over time. This paper describes the design and execution of the "Advanced Computing: AI, Data Science, and Generative AI" FDP, a six-day online national programme conducted under the AICTE-ATAL Academy during the 2025-26 academic year. Coordinated independently and archived through the Open Science Framework (OSF), the study creates a permanent record of the programme to ensure transparency and methodological soundness. Using an ecological validity observational research design, this study assesses the FDP's structure, governing logic, and open science integration rather than establishing causal relationships. Uniquely, the coordinator declined all administrative honoraria, directing 100% of the grants towards external intellectual capital to maximize high-impact research outcomes. The results demonstrate how a time-bound educational event can be transformed into a long-lasting academic artefact, providing a low-cost, repeatable model for faculty capacity building and independent academic leadership. Quantitative analysis (N=110) verifies the model's effectiveness, with 75.4% of respondents rating content quality at the highest level (5/5) and 67.2% confirming high interaction levels despite the online format. These findings highlight a scalable, voluntary non-claim policy model for democratizing academic capacity building.