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Digital Product Passport

How to Prepare Product Data for a Digital Product Passport

Thomas


20 Oct 2026

ABSTRACT DOTS FORMING CIRCLE

Three teams, one handbag. Legal holds the operator identifier. A tannery holds the origin certificate. After-sales holds the repair guide, in a PDF nobody has linked to the product record. None of them is wrong, and none of them can produce a passport. To prepare product data for a Digital Product Passport, map each field to its owner, fix the level it varies at (model, batch or item), close supplier gaps with templates, validate, tier access and version every change.

Why does DPP preparation stall on data, not technology?

The identifier and the carrier are decisions made once. The data is a continuing operation. The EU’s central DPP registry has been live since 20 July 2026 (European Commission), so the infrastructure question is largely answered. The harder question is whether a brand can fill a passport accurately.

Five drivers recur:

  • Data sits with teams that rarely work together: legal, production, sourcing, product development, sustainability.
  • Suppliers hold the hardest fields (material origin, recycled content, substances of concern) and answer by email, in different formats.
  • Data exists at the wrong level, for example a model-level spreadsheet used to describe batch-specific materials.
  • Nobody is accountable for a field once it is published.
  • Claims live in marketing copy, not in auditable records.

Timing adds pressure. Textiles requirements are indicatively expected from 2027, with obligations applying at least 18 months after each delegated act. The battery passport applies from 18 February 2027. Supplier data takes the longest to collect, so the work has to start before the final rules for a product group are published.

The distinction that matters: a passport is not a document a brand writes. It is a dataset a brand maintains, for as long as the product is in use.

What is product data for a Digital Product Passport?

It is the structured information that the Ecodesign for Sustainable Products Regulation, Regulation (EU) 2024/1781 (ESPR), allows delegated acts to require for a product group. Each act selects its own subset and sets access rights.

The categories give a planning framework. They are indicative, and the delegated act for a product defines the actual data points.

Category Examples Usual source Varies by
Identification Unique identifier, GTIN, model PIM, serialisation system Item or model
Economic operators Manufacturer, importer, operator identifier Legal, master data Model
Facilities Manufacturing site identifiers Production systems Batch
Materials and composition Materials, origin, recycled content Suppliers, PLM Model or batch
Substances of concern Presence and location of listed substances Suppliers, compliance Model or batch
Durability and repair Lifetime, spare parts, instructions Product development, after-sales Model
Environmental footprint Footprint where required LCA studies Model
Compliance Declarations of conformity, documentation references Compliance Model
End of life Disassembly, sorting, recycling Product development, sustainability Model

Two things stand out. Most categories belong to teams with no shared data model. And almost nothing varies by item.

How do you prepare product data for a DPP, step by step?

  1. Map required fields to owners. For each field in the delegated act, name the team and the system that holds it today.
  2. Define the level. Model, batch, material lot or item. Collect at that level only.
  3. Close supplier gaps. Request missing data with a standard template and a deadline tied to purchase orders.
  4. Validate. Check completeness and plausibility before anything is published.
  5. Publish with access rules. Serve each audience its view from the same identifier.
  6. Maintain. Version on change, correct by batch, review when acts are updated.

Before step one, run a short readiness audit, product line by product line. Which ESPR product group does each product fall into? Which team holds each likely field? Is the value supplier-declared, certified or estimated? Is it current, versioned and traceable to a source?

Most brands find the same split. Product, operator, compliance and repair data mostly exist internally. Material origin, recycled content and substances of concern depend on suppliers and are incomplete. That split tells you where to put effort first.

At what level should DPP data be collected: model, batch or item?

At the level where it actually varies. An item-level passport does not require item-level data entry.

A record for a leather bag shows why:

Field Example Varies by Access
Identifier GS1 Digital Link for this unit Item Public
Product Model “Weekender 45”, GTIN Model Public
Facility and batch Production site, batch L2611 Batch Restricted
Materials 82% calf leather (Italy), 6% brass Model or batch Public
Repair and end of life Repair guide, spare parts, recycling Model Public
Compliance Declaration of conformity Model Restricted

Only the identifier is unique to the item. Everything else is inherited from the model, the batch or the material lot, and the item adds its own identity and history. Identifiers typically combine a GTIN with a serial number, expressed as a GS1 Digital Link.

Projects that copy model data into every item record create a maintenance problem with no benefit. One correction then means millions of edits instead of one.

Who can see Digital Product Passport data?

Different audiences see different views of the same identifier. Delegated acts specify access rights for each product group. Brands cannot make restricted data public, and they should not make public data harder to reach.

Audience Typical access Why
Consumers and public Materials, care, repair, end of life Informed purchase and use
Repairers and recyclers Disassembly, components, substances Safe repair and material recovery
Market surveillance and customs Compliance documents, operator and facility data Enforcement
Brand and authorised partners Full record, including events and authenticity Operations and after-sales

Access control is not a hosting detail. It decides whether supplier identities and facility details stay restricted. Build it into the data model from the start. Adding it to a published dataset later is far harder.

How do you source the data suppliers hold?

Four data types cause most of the delay. Each has a fix that works at scale.

Material origin. Tier-two suppliers do not share it. Ask for batch-level supplier declarations and attach them to every item in the batch. Collect once per batch, not per item.

Recycled content. Claims exist in marketing, not in auditable data. Link supplier certificates to the material lot used in each batch. Claims then become traceable evidence.

Substances of concern. The data is spread across compliance files and supplier emails. Centralise it per model, map it to the passport field and version it on change. The result is one maintained source instead of a yearly scramble.

Repair information. It sits in after-sales, not in product data systems. Link the after-sales documentation to the model record, and both the passport and service teams reuse it.

Where data is thin, resist the temptation to estimate silently. Mark each value as declared, certified or estimated. A passport that shows its own evidence level is easier to defend than one that implies certainty.

How do you keep passport data correct over time?

A passport is not published once. Products change, suppliers change and errors surface.

Change What should happen
Supplier or material changes mid-production New batch data linked to items from the change point; earlier items unchanged
Error found in published data Correction recorded with a version; affected items identified by batch
Repair or part replacement Item-level event added where relevant
New delegated act field required Field added to the model and populated for products in scope

Versioning is the control that matters. If a market surveillance authority asks what a passport said on a given date, the brand has to be able to show it.

When is a spreadsheet enough for DPP data?

Sometimes it is. A brand with a few dozen references, one factory and stable suppliers can hold passport data in a well-governed spreadsheet or its existing PIM. The discipline matters more than the tool: named owners, a defined level per field, validation and version history.

The limits appear with scale. Several hundred references, seasonal batches, multiple tiers of suppliers and several delegated acts quickly overwhelm manual files. Spreadsheets also struggle with the access tiers and per-batch inheritance described above. The test is simple: can you reproduce a passport as it stood on a past date, and correct one batch without touching the rest? If not, the tooling has to change before the volumes do.

What data is hardest to prepare by sector?

Sector Hardest data Practical approach
Fashion and textiles Fibre composition and origin by batch; recycled content evidence Supplier templates tied to purchase orders; batch declarations
Leather goods Tannery origin and chemical substances Tannery certificates linked to leather lots and batches
Watches and jewellery Component origin, repairability After-sales documentation linked to each reference
Beauty and fragrance Packaging materials and recyclability Packaging specifications per SKU

Leather goods and textiles deserve early attention. Clothing, footwear and leather goods account for 62% of seized counterfeits (OECD/EUIPO, 2025), so the sectors with the heaviest data burden also face the strongest copying pressure.

Does the data carrier affect data preparation?

Yes, in two ways. The carrier must stay with the product, not on packaging that is thrown away. And for goods exposed to counterfeiting, it should resist copying, or a fake will carry your carefully prepared data.

The ESPR is carrier-neutral. In practice, a GS1 Digital Link QR is emerging as the default visible carrier, and NFC is the trust layer: NFC for trust, visible carrier for compliance. The EU recognised NFC as a compliant passport data carrier in 2026 (Implementing Decision (EU) 2026/1736, referencing EN 18220).

Chip class matters for trust. NTAG 424 DNA (ISO/IEC 14443-A, NFC Forum Type 4, AES-128) generates a unique cryptographic response on each tap through SUN messaging. A standard NTAG213-class tag lists around €0.19 to €0.23 at 1,000 to 10,000 units, and cannot do this. Secure NTAG 424 DNA-class labels cluster around $0.45 to $0.65 per unit at five-figure volumes, with on-metal variants adding 7% to 30% (public catalogues, 2026). iPhone XS and XR and later read tags in the background without an app, and Android reads natively with the screen on. Standard tags detune on metal, so on-metal tags with a ferrite layer are needed there.

Linking this data to each unit is also where passports meet product authentication. The same record can serve compliance, authenticity and traceability, and projects that treat product identity as an afterthought tend to rebuild their data model twice.

What can brands add beyond the mandatory fields?

The mandatory set is a floor. The same passport can carry provenance stories, care guidance, authenticity status, ownership registration and repair booking. Keep regulated fields clearly separated and accurate. Optional content must not blur what the regulation requires.

40+ brands · 12 years · €1.5B protected

Brands that prepare passport data at the right level, with clear owners and versioning, get a record that also serves authentication, grey market detection and ownership. Selinko, part of TOPPAN, links model and batch data once and gives each unit its own identity on the line.

FAQs

What information is required in a Digital Product Passport?

It depends on the product group. The ESPR lists the kinds of information delegated acts can require, such as identification, operators, facilities, materials, substances of concern, repair, footprint, compliance and end of life. Each delegated act selects its own subset and defines the exact data points.

Does an item-level passport need item-level data?

No. Most passport data varies by model or batch. Collect it at that level and let each item inherit it. The item adds only its own unique identifier and history, such as repair events. This keeps corrections cheap: one batch update replaces thousands of item edits.

Who can access Digital Product Passport data?

Access is tiered and set by each delegated act. Consumers see materials, repair and end of life. Repairers and recyclers see disassembly and substance data. Authorities see compliance and operator data. Brands see the full record. Brands cannot make restricted data public.

How do I start preparing product data for a DPP?

Run a readiness audit by product line. Identify the ESPR product group, name the team or system holding each likely field, note its level (model, batch or item) and whether it is declared, certified or estimated. Then prioritise supplier-dependent fields, since they take longest.

When should we start preparing DPP data?

Now. The central registry has been live since 20 July 2026, textiles requirements are indicatively expected from 2027 with obligations at least 18 months after the act, and the battery passport applies from 18 February 2027. Supplier data is the slowest part, so begin before final rules are published.

Can brands add their own content to a DPP?

Yes, provided regulated fields stay clearly separated and accurate. Brands commonly add provenance stories, care guidance, authenticity status, ownership registration and repair booking. Optional content must never blur or contradict what the regulation requires.

Does the data carrier affect DPP data preparation?

Yes. The carrier has to stay on the product for its whole life, and for counterfeit-prone goods it should resist copying. The ESPR is carrier-neutral, but GS1 Digital Link QR is the emerging visible default, with cryptographic NFC such as NTAG 424 DNA as the trust layer.

Map your DPP data

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