The construction industry faces an urgent mandate to address the United Nations Sustainable Development Goals (SDGs), particularly SDG 13 (Climate Action) and SDG 11 (Sustainable Cities and Communities). However, progress is significantly hindered by a critical information deficit regarding the environmental profile of building materials, which directly undermines global efforts to mitigate the climate crisis. A primary obstacle to sustainable delivery is the lack of country-specific embodied greenhouse gas emissions (GHGe) data, which prevents accurate life cycle assessment. This study proposes a six-step framework to develop localised databases by adapting existing life cycle inventory (LCI) data. The methodology employs a tiered approach to regionalisation and temporal scope, prioritising the latest local electricity mix and transport parameters for better geographical representation. To improve scalability and data consistency, the framework integrates scripting to minimise errors in data administration and recommends thorough uncertainty management approaches through sensitivity analysis and metadata transparency. Results suggest benefits in transitioning complex LCI data into interoperable formats to facilitate application and integration with building information modelling (BIM) tools. This can enable informed environmental decision-making during early design stages, when GHGe reduction potential is highest. By lowering technical and economic barriers associated with database development, the framework presents a pathway for streamlined adoption of robust GHGe accounting practices. This study proposes a transparent, reproducible pathway for generating reliable environmental coefficients, ultimately fostering more sustainable and evidence-based construction practices globally.