Digital Product Passport (DPP) under ESPR - Key Insights from the JRC Methodology Report (JRC145830)

Vol. 1531 | 31 Mar 2026

The JRC’s methodology for Digital Product Passports under ESPR provides a structured approach for defining product data requirements. It guides prioritization, data granularity, and access rights, helping businesses prepare for future EU delegated acts and compliance obligations.

19^th March 2026, the European Commission’s Joint Research Centre (JRC) has released a definitive methodology for defining and prioritizing the data that must be included in Digital Product Passports (DPPs) under the Ecodesign for Sustainable Products Regulation (ESPR). This report is critical for businesses as it provides the blueprint the EU will use to develop "Delegated Acts" (the specific laws that will mandate what data your products must carry).

Why this matters

The Digital Product Passport (DPP) is a cornerstone of the EU’s Ecodesign for Sustainable Products Regulation (ESPR). It will define what product data must be made available, to whom, and at what level of detail across value chains. The JRC report provides the first structured, policy-backed methodology that regulators will use to define DPP data requirements—making it essential reading for manufacturers, brands, retailers, and conformity assessment bodies.

Purpose of the JRC Methodology

The report introduces a practical, step‑by‑step approach to determine:

• Which data elements belong in a DPP
• Why each data element is needed
• How to prioritize data based on value, feasibility, and effort
• What data granularity is appropriate (model, batch, or item level)

Rather than prescribing a fixed dataset, the methodology enables consistent, enforceable, and future‑proof DPP requirements across different product groups under ESPR delegated acts.

The Core Methodology – From Policy to Data

The JRC proposes a logic-driven translation of policy goals into data requirements, built around four key steps:

1. Policy objectives & use cases
   Regulatory objectives (e.g. durability, repairability, recyclability, enforcement) are translated into concrete use cases for authorities, consumers, market surveillance bodies, and value-chain actors.
2. Identification of data needs
   Each use case is mapped to specific data elements (e.g. material composition, repair instructions, compliance documentation).
3. Prioritization via value–effort analysis
   Data elements are classified as:
• Essential (mandatory)
• Strongly recommended
• Voluntary
  This prioritization balances regulatory value against real‑world data availability and industry practices.
4. Feasibility & market reality check
   Existing industry data flows, digital maturity, and confidentiality constraints are assessed to avoid unrealistic or unenforceable requirements.

Strategic Insights for Businesses

• Granularity is Key: The report highlights that data requirements will vary by level—ranging from model-level (generic to all units) to batch-level or even item-level (unique to a single serial number). Clients should assess their IT systems' ability to handle unique item-level tracking.
• Data Governance & Access Rights: The methodology addresses the "need-to-know" principle. Not all data is public. The JRC framework helps define which stakeholders (regulators, consumers, or waste operators) have access to specific datasets, protecting business-sensitive information.
• Future-Proofing: While technical architecture (like blockchain vs. cloud) is not the focus, the semantic structure of your data is. By adopting the JRC’s semantic definitions now, companies can ensure their internal databases are "DPP-ready."

Immediate Action Items

• Audit Current Data: Compare your existing sustainability data against the "Essential" categories likely to emerge (Material composition, Substances of Concern, Carbon Footprint).
• Engage in the Ecodesign Forum: Use the JRC methodology as a basis for providing feedback during EU public consultations.
• Map Supply Chain Transparency: Identify "data gaps" where suppliers may struggle to provide the granular information required by this methodology.

Reference: Methodology for defining data requirements for the Digital Product Passport under the ESPR framework. Publications Office of the European Union. Link to Full Report

 

 

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