Open Traceability Initiative

To be trustworthy, a sustainability claim should be fully traceable.

Bridging the gap between environmental claims and verifiable evidence through an externally inspectable framework.

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"Open Traceability is the externally inspectable connection between an environmental claim and the specific evidence, methods, assumptions, and publications from which that claim was derived."
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The Six Dimensions of Openness

Breaking the knowledge-creation process into inspectable layers.

01 · Data

Open Raw Data

Inputs are verifiable, identifiable, documented, attributable, and ideally versioned.

02 · Logic

Open Models

Analytical logic is visible through code, methods, dependencies, and open licenses.

03 · Run

Open Execution

Workflows and provenance make the path from inputs to outputs externally inspectable.

04 · Critique

Open Review

Visible issue tracking and responses to challenge show how claims were tested.

05 · Access

Open Publications

Final reports and policy outputs are accessible and clearly documented for scrutiny.

06 · Connection

Linkage Quality

The Decisive Factor. Explicit and verifiable connections across the entire artifact chain.

Stakeholder Perspectives

How Open Traceability serves different actors in the ecosystem.

For Policymakers

Strengthen regulatory impact assessments and international negotiations with evidence-based authority. Ensure technical claims translated into public policy are accountable.

For Funders

Improve due diligence and impact assessment. Use standardized traceability profiles to evaluate the robustness of projects before committing capital.

For Journalists

Trace technical claims in sustainability reporting. Access clear evidentiary links to source data and models to ensure accuracy in communication.

For Developers

Build maintainable and transparent sustainability software. Align workflows with the framework to signal quality and foster collaboration.

Assessment Architecture

Leveraging open digital infrastructure for evidence-chain assessment.

OpenAlex

Mapping the publication layer and citation networks.

ecosyste.ms

Analyzing software metadata and project infrastructure.

OpenSustain.tech

The underlying catalog of open sustainability technology.

AI ASSISTANT

The LLM assistant identifies candidate claims, surfaces artifacts, and summarizes likely gaps for human review, enabling scalable assessment.

Exemplars

Concrete examples of strong traceability in practice.

InVEST

Ecosystem Services

Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) models map and value ecosystem services to support environmental decision-making.

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PyPSA-Earth

Energy System Optimisation

A global benchmark for transparent power-sector planning with open-source models and data workflows.

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PyPSA-Eur

Energy System Optimisation

An open sector-coupled optimisation model of the European energy system.

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Development Roadmap

Transitioning from pilot assessments to human-in-the-loop consensus review.

Prototype Framework and Methodology

The current Open Traceability scoring architecture is a prototype designed to test the feasibility of our six-dimension evidence chain framework. Assessments are currently generated via LLM-assisted analysis of repository structures and documentation here, rather than programmatic rulesets or comprehensive independent human verifications.

Demonstrated Pilot Objectives: Our pilot assessments of projects like InVEST, PyPSA-Earth and PyPSA-Eur have successfully shown that the six-dimension framework can structure complex codebase evidence, trace dependency layers, identify missing metadata, and map connections between inputs and published claims in a standardized format.

Future Production Requirements

To establish a high-integrity, production-grade assessment registry, the initiative requires a structured path beyond LLM-only generation:

  • Standardized Scoring Rubric: Defining a versioned, multi-tier compliance framework with clear criteria for each of the six dimensions.
  • Human Review Protocol: Establishing formal peer-reviewer roles, service-level agreements (SLAs), and conflict-of-interest policies.
  • Automated Tooling at Scale: Building continuous integration infrastructure to automatically run checks and extract metadata across hundreds of active climate repositories.