Data Quality Scoring System for Datacenter IT Embodied Carbon Accounting

Why It Matters

Standardizing data‑quality scores turns ambiguous carbon data into reliable inputs, strengthening auditability and accelerating industry‑wide decarbonization efforts.

Key Takeaways

• Data quality scores enable consistent carbon reporting across suppliers.
• Core system offers fast, scalable scoring for bulk component data.
• Advanced system adds granular tech, geographic, temporal indicators with weighting.
• Hybrid approach lets firms start simple, then apply detailed assessment.
• Automated aggregation identifies data-quality hotspots in complex assemblies.

Summary

Meta and Google unveiled a data‑quality scoring system aimed at standardizing embodied‑carbon accounting for datacenter IT components. The presentation outlined a two‑tiered approach— a simple “core” model for bulk scoring and an “advanced” model for high‑impact items—intended to be industry‑wide.

The speakers highlighted that without quantified data quality, scope‑3 reports carry silent risks, values can drift over time, and decarbonization decisions become unreliable. Traditional pedigree‑matrix methods are complex and labor‑intensive, prompting the need for a fast, automatable core system that buckets PCFs from high‑quality MPN‑specific data (scores 8‑10) down to raw spend‑based factors (scores 1‑2) and gaps (0).

A notable quote referenced Robert Solow: “data quality is everywhere, but nowhere in the PCFs.” The talk demonstrated the system on a rack assembly, aggregating leaf‑node scores into a weighted average to pinpoint data‑quality hotspots. The advanced method assigns inverse scores to technological, geographic and temporal indicators with 40‑40‑20 weightings, allowing conversion between the two scales.

Adopting this framework promises consistent, auditable carbon data across suppliers, enabling more confident scope‑3 reporting, automated LCA workflows, and faster decarbonization pathways for the tech sector.

Original Description

Presenter(s):

Mischa Weiss-lijn, Group Product Manager- Cloud Sustainability Tools, Google

Tali Brennan, Net Zero Program Manager, Meta

Mischa Weiss-lijn, Group Product Manager- Cloud Sustainability Tools, Google

Tali Brennan, Net Zero Program Manager, Meta

How confident are you in your upstream Scope 3 numbers? Carbon estimates for IT hardware come from different sources: supplier Product Carbon Footprints (PCFs)- teardown studies- proxy matching- parametric modeling- and spend-based emission factors- yet there's no widely adopted way to assess and compare data quality across these methods.

Through the OCP Sustainability Project- Fraunhofer IZM- Meta- Google- Microsoft- and AWS are developing a multi-criteria data quality scoring system for IT hardware Life Cycle Assessments (LCAs) built on PACT's Data Quality Indicators. A single- accessible scoring system encourages adoption- enabling transparent comparison- automated data selection at the component and product level- and prioritization across hardware portfolios.

We share this open framework to invite community input and explore integration into sustainability workflows. As a living standard- we welcome feedback and contributions to keep it evolving with industry needs.