Circularity Data Exchange: Landscape Analysis and Way Forward
This white paper analyzes the current landscape of circularity data exchange, identifying key challenges in data harmonisation, interoperability, and sharing, and proposes pathways to enable consistent, credible, and scalable circular economy data systems.
The paper provides a comprehensive analysis of the role of data exchange in enabling the transition to a circular economy, directly supporting Sustainable Development Goal 12 on Responsible Consumption and Production. As circular economy policies and business commitments expand globally, the need for consistent, credible, and comparable product-level data has become critical to track progress, ensure compliance, and enable informed decision-making across value chains.
The report highlights that achieving circularity requires not only improved product design and resource efficiency but also the ability to exchange high-quality data across stakeholders. It identifies key barriers currently limiting this transition, including fragmented definitions of circularity data, inconsistent metrics across regulatory frameworks, limited interoperability between systems, and concerns related to data confidentiality and cost of implementation. These challenges hinder companies’ ability to measure, report, and scale circular practices effectively.
By mapping existing regulations, frameworks, and data initiatives, the study demonstrates that circularity data spans multiple categories—such as material composition, product design, reuse, and end-of-life management—and evolves dynamically across the product lifecycle. This complexity requires new approaches to data governance and exchange, moving beyond static reporting models toward interoperable and continuously updated data systems.
The report draws on lessons from existing initiatives, particularly the Partnership for Carbon Transparency (PACT), to propose actionable pathways for circularity data exchange. These include standardising data definitions, developing interoperable data models, ensuring traceability across value chains, and implementing secure and trusted data-sharing mechanisms.
Ultimately, this resource supports policymakers, businesses, and international organizations in building the digital infrastructure needed to operationalise circular economy principles. By enabling transparent and harmonised data exchange, it contributes to more efficient resource use, reduced environmental impacts, and the scaling of circular business models globally.
