Global Public Data Assessment
Introduction
This methodology document outlines a structured, six-step process for conducting a comprehensive global assessment of publicly available data to support Supplier-Specific Scope 2 (SSS) emissions reporting under the GHG Protocol. Developed for the Granular Registry SSS Reporting platform, this process evaluates data availability, quality, and usability to inform revisions to Scope 2 Guidance, particularly enhancements to supplier-specific methods within location-based and market-based accounting frameworks.
The assessment aligns with ongoing GHG Protocol updates as of September 15, 2025, including the Independent Standards Board (ISB) approval for public consultation on market- and location-based revisions in August 2025, the ISO-GHG Protocol strategic partnership announced September 9, 2025, for harmonized standards, and Technical Working Group (TWG) progress on temporal matching, deliverability, and consequential impacts. Objectives include identifying data gaps, recommending improvements for SSS adoption, and ensuring alignment with emerging requirements, such as ISO 14064 harmonization and granular EAC tracking.
The process emphasizes public data sources, multi-angle verification (e.g., cross-checking with IEA, EIA, ENTSO-E), and efficiency through ETL pipelines. It covers geographic scopes, prioritizing high-emission regions (e.g., EU, US, China), and assumes a 6-month timeline starting from September 15, 2025, with deliverables for Secretariat discussions by March 2026.
Overall Process Overview
Each step builds upon the previous one, incorporating verification tools (e.g., web searches, code execution for calculations) and addressing uncertainties through sensitivity analysis and alternative viewpoints.
Role within the unified SSS methodology
This directory is the ETL playbook used to populate the unified schema defined in ../sss-methodology.md. When utility submissions are unavailable, follow these steps to fill the schema fields (retail sales, EAC retirements, non-RPS zero-carbon, generation mix, emissions, compliance), honoring the fallback and data-quality hierarchy in sss-methodology.md. Outputs from these steps should serialize directly into the schema for software ingestion.
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