ESPRDPP mappingEU

ESPR information requirements to DPP mapping

Turn product-group ESPR information requirements into a (DPP) mapping table that shows the delegated-act source, data class, system owner, access level, identifier path, validation check, and evidence record.

The page avoids claiming final product fields until an applicable delegated act or other binding measure defines them.

Author
Sorena AI
Published
May 9, 2026
Updated
Oct 15, 2026
Overview

Use this guide when a product team needs to convert ESPR information requirements into implementation records. Start with the applicable delegated act, then classify each required information item before assigning systems, access controls, carrier and resolver choices, validation rules, and evidence.

Section 1

Start with the delegated-act source, not a generic DPP field list

ESPR information requirements are set through product-group or horizontal delegated acts. A DPP mapping table should record the covered product group, binding requirement source, product-parameter topic, required method for making the information available, and whether the requirement points to a passport, label, free-access website, manual, or another route.

Do not treat ESPR as one universal list of final DPP fields. Article 9 requires the applicable delegated act to define the data, carrier, placement, granularity, pre-contract access, access and update actors, update arrangements, and availability period. It also permits a product-group exemption where the necessary DPP technical specifications are unavailable or another Union-law system achieves the stated access and compliance-verification objectives.

  • Requirement ID: cite the delegated act, article, or annex. Keep consultations and working-plan material in a separate planning-source field because they do not create the final product duty.
  • Product granularity: record whether the source points to model, batch, item, or another product level.
  • Information route: identify whether the information is intended for the DPP, a label, a physical document, a website, or more than one channel.
  • Consumer visibility: mark information that must be available before purchase or through physical means where the source supports that route.
  • Open question: leave the row unresolved when the delegated act has not yet defined the field, method, access level, or timing.
Section 2

Classify each data element before assigning a system owner

A practical mapping separates legal requirement text from the data element that will satisfy it. Classify each candidate item as product identity, operator or facility identity, compliance documentation, sustainability or circularity metric, lifecycle event, supplier-provided evidence, or user-facing instruction.

This classification prevents two common failures: publishing public sustainability claims without underlying evidence, and storing restricted business or authority-facing information in a consumer-facing DPP view.

  • Product identity: unique product identifier, product model or item reference, and the data-carrier relationship.
  • Actor identity: manufacturer, responsible economic operator, supplier, repairer, refurbisher, recycler, or facility information where required.
  • Compliance evidence: declaration of conformity, technical documentation, certificate reference, test result, or assessment record.
  • Sustainability data: metric value, unit, method, criteria source, benchmark reference, and conformity indicator where supported by cited sources.
  • Lifecycle data: repair, refurbishment, remanufacturing, end-of-life, or update events only when the product rule or architecture supports them.
Section 3

Map source systems and update responsibility

Each row needs an operational source of truth. The DPP is an access and exchange mechanism, not a substitute for product engineering, supplier, quality, regulatory, or lifecycle systems that create and maintain the underlying facts.

Assign both the system and the accountable owner. Product lifecycle management (PLM), enterprise resource planning (ERP), manufacturing execution (MES), quality management (QMS), supplier portals, laboratory systems, life-cycle assessment (LCA) tools and repair workflows may hold different values. Give each value a named change owner, data-refresh trigger and evidence location.

  • PLM or engineering owns product model, materials, component, design, and technical specification records.
  • ERP, MES, or manufacturing quality systems own batch, production, facility, and manufacturing-control records.
  • Supplier portals and procurement systems own supplier declarations, upstream materials evidence, and contractual evidence requests.
  • QMS, test labs, and regulatory systems own conformity assessments, declarations, certificates, standards references, and corrective-action status.
  • LCA, Product Environmental Footprint (PEF), sustainability, or environmental reporting systems own calculated metrics and the calculation method trail.
  • Service, repair, refurbishment, and recycling systems own lifecycle updates only when the product rule and identifier granularity support those updates.
Section 4

Split public, role-based, and authority access

The mapping should include an access column for every information item. ESPR and DPP architecture sources support differentiated access: consumer-facing public data is not the same view as repairer, recycler, professional buyer, customs, or market-surveillance data.

Use simple labels in the mapping table: public, credentialed business user, value-chain role, authority, or internal-only pending review. Do not publish restricted data by default just because it appears in a DPP repository.

  • Public: consumer-facing information available through the web portal, label route, or default DPP consumer view.
  • Credentialed business user: professional-buyer, supplier, repairer, refurbisher, recycler, or remanufacturer access where role credentials are required.
  • Authority: market-surveillance, customs, or competent-authority access to mandatory DPP and registry information.
  • Restricted: confidential business information, supplier-sensitive evidence, or personal data that should not be exposed in public views.
  • Personal data: keep out of the DPP unless a cited legal basis and data-protection design are established.
Recommended next step

Build a DPP mapping table before implementation

This ESPR mapping structure helps connect delegated-act requirements, source systems, access decisions, identifiers, validation checks, and evidence before publishing DPP data.

Section 5

Design the carrier, identifier, registry, and resolver path

For each mapped information item, record how a user or machine will find it. ESPR ties the passport to a unique product identifier and describes machine-readable data carriers such as QR codes or watermarks. CIRPASS adds an implementation pattern where a product identifier points through a resolver to the appropriate target data or view.

The row should distinguish the identifier level from the data view. For regulated implementation, the delegated act controls whether the DPP is at model, batch, or item level. A pilot may test another granularity, but the map must label it as a design assumption rather than a legal requirement.

Commission Implementing Regulation (EU) 2026/1778 enters into force on 6 August 2026 and sets the process. Where the applicable Union rule requires both a passport and registry registration, a verified economic operator registers it at the required granularity. The registry returns a unique registration identifier and supports version timestamps and downloadable proof of registration. The proof remains available for 90 calendar days and can be regenerated, but neither it nor the registry's automated checks establishes substantive product compliance.

  • Identifier level: model, batch, or item as defined by the delegated act; label any pilot-only choice as a design assumption.
  • Carrier placement: product, packaging, accompanying documentation, or online sales presentation where the applicable rule allows or requires it.
  • Resolver behavior: default consumer view, role-specific link types, batch access, or authority access route.
  • dependency: record whether registration applies, the verified operator, submitted identifiers and commodity code where relevant, unique registration identifier, version timestamps, and proof of registration.
  • Continuity: back-up provider or fallback resolver plan for insolvency, liquidation, cessation of activity, or broken original resolver.
Section 6

Validate the mapping before publishing or registering DPP data

A defensible mapping needs validation at three levels: legal source traceability, data-quality checks, and technical exchange checks. A row is not ready until the source citation, system value, access decision, and evidence link agree with each other.

CIRPASS describes Shapes Constraint Language (SHACL) as one way to validate graph data, which represents information as linked elements and relationships. A SHACL template defines required elements, relationships and value constraints, then reports failures when the passport data does not match. ETSI also identifies findability, accessibility, interoperability, reusability, authenticity, integrity, verifiability and traceability as useful data properties.

  • Legal validation: every row cites the applicable delegated act, ESPR provision, referenced standard, common specification, or other authoritative source.
  • Data validation: units, methods, value ranges, vocabulary codes, timestamps, and owner approvals are checked before exposure.
  • Access validation: public and restricted views are tested with consumer, business-role, and authority personas.
  • Resolver validation: scan or identifier resolution returns the intended consumer page, machine-readable links, and fallback behavior.
  • Evidence validation: conformity evidence, benchmark references, calculation records, or certificates remain reachable according to their access rules.
Section 7

Keep an evidence pack for each mapped requirement

The evidence pack should let a reviewer reconstruct why the information item exists, where its value came from, who approved it, which view exposes it, and how it was validated. Store the pack next to the mapping table rather than scattering it across source systems.

Use the pack to manage open facts. If a delegated act has not defined the product-specific DPP content yet, record that as blocked or pending rather than filling the row with invented fields.

  • Source extract: delegated-act citation, requirement text, and the interpretation decision; record non-binding standards or project guidance separately.
  • Data lineage: source system, field owner, supplier input, calculation method, metric unit, and last update trigger.
  • Access rationale: why the item is public, role-based, authority-only, restricted, or pending.
  • Carrier and resolver evidence: data-carrier sample, identifier format, resolver test, registry record, and fallback plan.
  • Validation output: schema or SHACL result, quality review, evidence-link check, and release approval.
  • Change log: delegated-act updates, standard updates, DPP-system changes, source-system changes, and remediation actions.
Section 8

Approve the mapping before production use

Before production use, confirm the adopted delegated act, current DPP technical specifications, applicable identifier standards, registry and customs arrangements, data-protection basis, and every actor's contractual and legal authority to create or update data.

The applicable legal provisions and delegated act control the regulated fields and access rights. ETSI, CEN workshop material and CIRPASS architecture outputs provide information-model, resolver, access and validation patterns that need to be checked against those requirements.

  • Regulatory or legal owners approve the binding source, product scope, information route, access rules, and unresolved interpretations.
  • Data owners approve field values, units, evidence links, update triggers, and retention or availability controls.
  • Security and privacy owners test authentication, authorisation, integrity, confidentiality, and the exclusion of customer personal data.
  • Architecture teams may use ETSI, CEN, and CIRPASS patterns, but must label them as implementation choices unless a binding measure or applicable standard requires them.
Primary sources

References and citations

data.europa.eu7 citations
Referenced sections
  • Primary legal source for ESPR information requirements, DPP data categories, unique identifiers, data carriers, differentiated access, registry, portal, back-up copy, and conformity evidence.
  • Grounds the rule that information requirements can require availability through a free-access website, DPP, product label, or physical means depending on the delegated act.
  • Grounds DPP candidate elements including unique identifiers, compliance documentation, manufacturer and operator identifiers, facility identifiers, and back-up service-provider references.
Show 4 more
  • Grounds differentiated DPP access rights, protection of confidential business information, and the rule that customer personal data should not be stored in the DPP.
  • Grounds the unique product identifier, data carrier, registry, portal, back-up copy, and ISO/IEC 15459 identifier-standard references in the ESPR framework.
  • Grounds technical documentation, declaration of conformity, and authority inspection expectations connected to delegated-act compliance.
  • Binding source used for information routes, DPP content decisions, carriers, identifiers, access, update rights, availability, registry, portal, and data-protection constraints.
"the digital product passport should be specific to the item, batch or product model"
More quoted passages
"in a digital product passport or on a product label"
"what data are to or can be included"
"allows differentiated access to the data"
"linked to a unique product identifier"
"make it possible to assess the product’s conformity"
"This Regulation shall be binding in its entirety"
doi.org6 citations
Referenced sections
  • Architecture source for resolver-based discovery, decentralised DPP data repositories, role-based access, identifier-to-URI transformation, registry interaction, and validation concepts.
  • Supports a decentralised architecture where DPP information may be discovered through identifiers and resolvers while data remains in responsible actor systems.
  • Supports using credentials and resolver-selected links so different actors receive different machine-readable data sets.
Show 3 more
  • Grounds the resolver pattern in which a product UID or URI routes the requester to consumer, machine-readable, role-based, or authority-facing resources.
  • Supports validation of DPP knowledge graphs and describes SHACL shapes as a way to check DPP content before registration and later review.
  • Non-binding project output used for architecture and validation patterns.
"Everything starts from the simple case"
More quoted passages
"data is held and managed by the data's creator"
"Depending on the provided credentials"
"the resolver is a key node"
"checked against that template"
etsi.org6 citations
Referenced sections
  • Technical standard sources support the information-model framing for sustainability and circularity claims, metrics, criteria references, benchmark references, and evidence links.
  • Grounds mapping environmental information into claim-style data with criteria references, claimed values, benchmark references, conformity indicators, and evidence links.
  • Supports separating product model, batch, and item information because information can be fixed at design time, manufacturing time, or extended over the lifespan.
Show 3 more
  • Supports DPP data-quality properties and information-model checks for environmental sustainability and circularity data.
  • Supports keeping criteria references, claimed values, benchmark references, conformance indicators, and evidence links for sustainability claims.
  • Technical standard used for information-model and evidence-link concepts; it does not replace product-specific ESPR rules.
"An information model for digital product information"
More quoted passages
"From requirements to an information model"
"model information can be fixed at design time"
"data findability, accessibility, interoperability, and reusability"
"A reference to conformity evidence"
cencenelec.eu3 citations
Referenced sections
  • CEN-CENELEC source supporting DPP design decisions for data carriers, information portals, DPP contents, information exchanges, and role needs.
  • Supports treating DPP setup as a design decision covering data carriers, information portals, contents, exchanges, user interests, and operational requirements.
  • Supports including data carriers, information portals, DPP contents, and information exchanges in the DPP design choices.
"guidelines for the DPP design process"
More quoted passages
"decision-making on designing a Digital Product Passport"
"data carriers, information portals, DPP contents"
data.europa.eu2 citations
Referenced sections
  • Published implementing regulation entering into force on 6 August 2026 for verified-operator access, passport registration, unique registration identifiers, proof of registration, versioning, and the limits of automated registry checks.
  • Published registry rules entering into force on 6 August 2026 for verified-operator access, model-batch-item registration, unique registration identifiers, proof of registration, versioning, and the limit of automated registry checks.
"automated verifications should not be deemed to constitute proof of compliance"
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