53 Data Fields for Textile DPP

The JRC's 3rd Milestone Technical Report on textiles, published in January 2026, proposes 53 distinct data fields that textile companies will likely need to populate in every Digital Product Passport sold in the EU. The list spans ten categories from product identification to compliance documentation, and it forms the technical backbone for the upcoming ESPR delegated act on textiles expected in late 2026 or early 2027. This is not yet binding law, but it is the most concrete signal we have of what the textile DPP will demand.

Textile brands that wait for the final delegated act before mapping their data architecture risk an 18-month sprint between adoption and mandatory application in 2028. The 53 fields cover Tier 1 to Tier 4 supplier data, chemicals subject to REACH, recycled content under ISO 14021, and product environmental footprints calculated through PEFCR methodology. None of these data points can be assembled in a quarter. The supplier chains are too long, the methodologies too granular, and the audit trail too consequential.

What does the textile DPP data model include?

The textile DPP data model includes 53 proposed fields organised into ten categories covering identification, supply chain actors, technical performance, chemical content, recyclability, environmental footprint, and compliance documentation. Each field carries four pieces of metadata: a mandatory or voluntary status, a granularity level (item, batch, or model), a reference methodology, and an access right (public, legitimate interest, or authorities only).

The ten categories are:

1. Product identification and classification with unique IDs, batch or lot, model, ESPR category, commodity code, manufacturing date, mass and packaging info.
2. Producer identification with manufacturer ID, name, address, contact, importer, economic operator, country of origin, and facility identifier.
3. Material composition with fibre composition and components specification.
4. Mechanical performance with robustness, visual inspection, spirality, dimensional change, and certification.
5. Chemical content with substances of concern (SoC), location, concentration, safe-use instructions, and disassembly info.
6. Recyclability with score and conformity certification.
7. Recycled content with percentage per ISO 14021, type of waste, weight, amount, and certification.
8. Other EU law with organic content and EU Ecolabel.
9. Environmental footprint with carbon/env footprint class and absolute value, calculation parameters, weight, care instructions, repair info, and repair service contacts.
10. Compliance documentation with conformity declarations, technical certificates, third-party certificates, validity, GPP compliance, customs metadata, and status flags.

Key insight: The 53 fields are not a checklist of nice-to-haves. They map almost every meaningful technical, commercial, and regulatory attribute of a textile product, which means assembling them touches roughly every department from product development to compliance to supply chain.

The data model also rests on three standards already moving toward textile-specific use. GS1 Digital Link is the carrier for unique IDs, ISO 14021:2016 governs recycled content claims, and the PEFCR methodology defines environmental footprint. Brands that already use GS1 GTINs and PEF screening will find roughly 40% of the proposed fields familiar. Brands that don't are starting from a much harder position.

For the regulatory context behind the 53 fields, see our legislation overview, which tracks the ESPR delegated act timeline and obligations as they evolve.

Which fields are mandatory and which are voluntary?

Of the 53 proposed fields, eight are flagged as strictly mandatory in the JRC study, twenty are proposed as "core" (likely mandatory in the delegated act), eleven are conditional or voluntary, and the rest are de-prioritised or contextual. The split matters because mandatory fields drive penalties under the ESPR enforcement regime, while voluntary fields drive market differentiation.

The strictly mandatory fields are:

These are the fields that touch the horizontal ESPR framework. The substances of concern requirement is particularly notable because it inherits from REACH and SCIP, which means textile brands already exporting to chemicals-regulated markets have an existing data trail to extend.

The "proposed core" group is where most discretion lies. Robustness score, recyclability score, recycled content percentage, and product environmental footprint are all flagged as proposed-core. The JRC expects the delegated act to make them mandatory, but the methodologies are still being finalised. Brands that lock in a methodology now risk doing the work twice if the delegated act adopts a different reference standard.

Voluntary fields cover organic content disclosure (already governed by Regulation (EU) 2018/848), EU Ecolabel, repair instructions, repair service contacts, and components specification. These are commercially powerful because they support marketing, resale, and circular flows, but they will not trigger non-compliance penalties.

Key insight: The penalty exposure for textile DPP non-compliance lives in producer identification, chemical content, and compliance documentation. Every brand should treat those three categories as zero-tolerance data quality requirements, with separate budgets and ownership.

What does field granularity mean for textile data?

Granularity in the textile DPP determines whether data is reported per item (a single garment), per batch (a production run), or per model (a SKU or style). The JRC study assigns each of the 53 fields one of three granularity levels, and the level dictates the cost and feasibility of data collection.

Item-level granularity is the most expensive. It requires a serialised identifier on every single garment, typically using GS1 SGTIN. The JRC notes that item-level traceability has "very low readiness" in textile today. Only premium and luxury brands currently serialise at item level, mostly for anti-counterfeit purposes.

Batch-level granularity is the most common compromise. It applies to manufacturing date, country of origin, facility identifiers, fibre composition declared per production run, and substances of concern. Most textile manufacturers already track these at batch level for QC and customs purposes, so the data exists, it just needs to be exposed through the DPP carrier.

Model-level granularity covers product category, fibre composition (declared per design), durability and recyclability scores, recycled content percentage, and product environmental footprint. Model-level fields are the most aggregatable and the most reusable across colour and size variants of the same style.

The JRC also distinguishes between batch (self-declared) and model (3rd-party tested) for mechanical performance fields. Spirality, dimensional change, and visual inspection can be declared at batch level if the brand stands behind the test, or at model level if certified by an external lab. The choice has direct cost implications. Third-party testing for an entire seasonal collection runs into significant five-figure budgets for mid-sized brands.

Key insight: Item-level traceability is the single most expensive granularity demand and has the lowest industry readiness. Brands should plan to meet it for compliance-relevant flags (recall, withdrawal, investigation) only, and keep all other fields at batch or model level.

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Which identification and producer fields must be filled?

Identification and producer fields together account for 15 of the 53 proposed fields, and they form the only fully mandatory block in the textile DPP. They include the unique product ID at item level, batch and model IDs, ESPR product category, customs code (where relevant), manufacturing date, product mass, full manufacturer details, importer ID where applicable, economic operator, country of origin, and one or more facility identifiers.

The unique product ID must comply with prEN18219, the emerging European standard for DPP identifiers, which aligns GS1 Digital Link with W3C Decentralised Identifiers (DIDs). For most textile brands, this means extending an existing GTIN-13 to a serialised SGTIN or migrating to a Digital Link URL with the format https://id.gs1.org/01/{GTIN}/21/{serial}. The GS1 Digital Link standard is already production-grade and supported by hundreds of brand owners.

Facility identifiers are where most textile brands underperform. ESPR Annex III(i) requires unique IDs for production facilities, which usually means a Global Location Number (GLN) issued by GS1. The JRC notes that high-tier facilities (Tier 1 cut-and-sew) often have a GLN, but Tier 2 fabric mills, Tier 3 yarn spinners, and Tier 4 fibre producers frequently don't. Building a clean facility ID map across the full supply chain is one of the unglamorous but highest-leverage projects a brand can run before the delegated act.

Country of origin and importer identity are flagged as conditional because they apply differently to EU-manufactured versus imported goods. Brands importing into the EU need an EORI number for the importer, while brands manufacturing inside the EU only need the producer GLN. Both must be consistent with customs declarations under Article 15 ESPR, which extends the DPP into the customs verification flow.

The economic operator responsible is the legal entity accountable for the DPP. In most brand structures, this is the brand owner itself or its EU subsidiary. For private-label production, it is contractually negotiable. The brand can either take responsibility or assign it to a contract manufacturer. Either way, the answer needs to be in writing before the first DPP is issued.

How are material composition and chemicals reported?

Material composition and chemicals together make up 7 fields, two of which are mandatory and the rest proposed-core or de-prioritised. Fibre composition is technically voluntary under DPP but already mandatory under the EU Textile Labelling Regulation (TLR), which means brands must report it either way. The DPP simply moves the existing label data into a machine-readable carrier.

Fibre composition follows TLR clean-dry-mass methodology. Reporting is per model and uses ISO codes for fibre types. This is the field with the highest industry readiness, because every brand already has it printed on every care label.

Components specification (zipper, lining, interlining, trims) is flagged voluntary and de-prioritised. The JRC notes that disclosure is not yet common practice and that legitimate interest access (rather than public) would be required to protect commercial information. Brands that want to enable repair and recycling flows benefit from collecting this data even if it stays out of public DPP view.

Substances of concern is where chemical reporting gets serious. The DPP requires the SoC name (IUPAC, CAS, or EC number), the location within the product, and the concentration as a percentage by weight. The methodology inherits directly from REACH, and the data flows through the SCIP database into the DPP. The JRC explicitly flags this as "low readiness, not current practice" for most textile brands.

The legitimate interest access right is important. It means SoC data does not flow into the public-facing DPP view. Only declared authorities (customs, market surveillance, waste operators) and verified parties such as recyclers can request it. This protects commercial confidentiality while still meeting the substance traceability requirement under Article 7(5) of the ESPR.

For most brands, the gap analysis here looks like this. They have fibre composition. They might have some chemical data from Restricted Substances List (RSL) testing. They almost never have SoC concentration at batch level with audit-trail-grade provenance. Closing this gap requires upstream cooperation with dyehouses, finishing mills, and chemical suppliers, and that cooperation rarely happens through a single email request.

How are mechanical durability and recyclability scored?

Mechanical durability and recyclability scores are proposed-core fields that depend on methodologies still being finalised by the JRC. The ESPR preparatory study on textiles is defining the calculation rules for a robustness score and a recyclability score, both expected to land as numeric (1-5 or similar) class indicators in the final delegated act.

The robustness score is derived from a combination of standardised tests, including pilling resistance (per ISO 12945), tear strength (ISO 13937), dimensional stability after washing (ISO 5077), colour fastness (ISO 105), and seam slippage (ISO 13936). The JRC notes that "medium readiness" applies because the tests are common in quality control labs, but the score aggregation is not yet standardised.

Visual inspection, spirality, and dimensional change are reported separately as supporting fields. Each can be declared at batch level if self-tested or at model level if certified by a third-party lab. Conformity certification for mechanical performance is also a separate field, accessible to authorities only.

Recyclability scoring is more difficult. The JRC flags "low readiness, no aligned vocabulary yet" because the textile industry does not have a single agreed metric for recyclability. The score will likely consider material homogeneity (mono-fibre vs blend), presence of disruptive elements (metal trims, prints, adhesives), and the availability of recycling routes for the specific material composition.

Recycled content is a separate set of five fields with much higher methodological maturity. ISO 14021:2016 defines the calculation rules, and brands using Global Recycled Standard (GRS) or Recycled Claim Standard (RCS) certifications already produce most of the required data. The five fields are recycled content percentage, type of waste (pre-consumer or post-consumer), weight excluding trims, amount of recycled material, and a conformity certification at batch level.

The DPP also requires reporting at model granularity for the percentage and amount, but at batch granularity for the type of waste and certificate. This split matters because a single style might be produced from multiple batches of recycled fibre with different provenance. The model average matters for marketing, the batch detail matters for verification.

How recycled content data fits into broader circular flows, including resale and repair models, is covered in our circular economy overview.

How is environmental footprint and care data structured?

The environmental footprint section requires six fields driven by PEFCR methodology and one mandatory field (care instructions) inherited from the TLR. The PEFCR-based fields are footprint class of performance, absolute footprint value, calculation parameters, product weight (per EN ISO 80000-1), conformity declaration, and care instructions.

The footprint class is a categorical indicator (A-E or similar) derived from a benchmark distribution within the product category. The absolute value is the actual PEF result in kg CO₂e and other impact categories. The calculation parameters describe the methodology, system boundaries, data quality rating (DQR), and assumptions used, all required for verifiability.

A typical PEFCR screening for a cotton T-shirt produces values around 2.71 kg CO₂e per garment and 24.34 m³ of water-equivalent. We covered the complete lifecycle breakdown, including why the use phase generates 46.5% of emissions and why materials drive 49% of carbon, in our article on the carbon footprint of a cotton t-shirt. The DPP will require absolute and class values calculated to similar resolution, with full audit trail.

Care instructions are mandatory under the TLR and continue to be mandatory in the DPP. They include washing temperature, drying method, ironing, dry-cleaning, and bleaching symbols per ISO 3758. Repair instructions and repair service contacts are voluntary but commercially powerful, because they enable post-sale care, which is a meaningful retention driver for premium brands.

The footprint class and value will face third-party verification under the ESPR enforcement regime. The JRC explicitly notes that PEF screening (DQR around 1.6) is sufficient for initial reporting but may not be acceptable for product-specific environmental claims under the Green Claims Directive. Brands that want to make any environmental marketing claim must invest in a full PEF study with primary supplier data, and that data flows through the DPP.

Key insight: The DPP environmental footprint fields and the Green Claims Directive verification regime are two sides of the same data pipeline. Brands building footprint data for the DPP will already meet 70-80% of the Green Claims evidence requirement at no additional cost.

For brands evaluating where their products sit today, our environmental footprint page explains how PEFCR screening produces the inputs the DPP will require.

What compliance documentation must accompany the DPP?

Seven compliance documentation fields complete the DPP data model. Conformity declarations and technical certificates are mandatory, third-party certificates are conditional on the relevant ecodesign requirements, certificate validity dates are mandatory, and the rest (GPP procurement compliance, customs metadata, status flags) are conditional or voluntary.

Conformity declarations are signed documents stating that the product meets ESPR ecodesign requirements. They reference the relevant horizontal and product-specific delegated acts, the harmonised standards used, and the responsible economic operator. Technical certificates are the underlying test results, lab reports, and supplier declarations that support the conformity claim.

Third-party certificates apply when the delegated act requires external verification. This is typical for organic claims (under Regulation (EU) 2018/848), recycled content (under GRS or RCS), and any environmental claims that go beyond pure PEFCR class values. EU Ecolabel certificates are voluntary but supported by the DPP structure.

The validity period of digital certificates is mandatory because certificates expire. A DPP referencing an expired GOTS certificate is a non-compliance event in itself, regardless of whether the underlying product still meets the substance. The DPP infrastructure must track expiry and surface warnings or re-verification requests automatically. This is one of the operational reasons that DPP cannot be a static PDF.

Status flags are the most operationally sensitive field in the model. They allow market surveillance authorities to mark a specific item, batch, or model as under investigation, withdrawn, or recalled. The flag is visible to both authorities and the public, and it is the only DPP field where authorities can write directly to the record. The DPP service provider is required to publish the flag without modification.

For an example of how these fields render in a live DPP, see our DPP showcase.

Why supplier data is the bottleneck for the DPP

Supplier data is the bottleneck for the DPP because at least 30 of the 53 proposed fields can only be filled with data that lives upstream of the brand. Fibre composition, country of origin, facility IDs, substances of concern, recycled content provenance, and footprint calculation parameters all originate at Tier 2, Tier 3, or Tier 4. Brands typically have no direct relationship beyond Tier 1.

The supplier data collection problem deserves its own playbook, which we covered in detail in our guide on how to collect supplier data for digital product passports. That article maps which data lives at which tier and compares five collection methods (questionnaires, portals, certifications, audits, API integrations) with cost benchmarks.

What is worth adding here is the structural reason the problem repeats across brands. A typical fabric mill supplies between 20 and 100 brand customers. Each brand sends a different DPP data request, with a different schema, in a different language, with a different deadline. The mill ends up answering essentially the same questions ten or fifty times per quarter, and the marginal supplier wastes the marginal hour on duplicate data entry rather than on improving traceability.

This is the gap that supplier-side DPP infrastructure has to close. At cyrcID we call this layer MEDS, the Manufacturer Engagement Data System. The principle is simple. A supplier enters core DPP data once into a shared registry, then approves access for each brand customer. Each brand pulls verified data through a standard schema rather than chasing the same answer ten times.

The MEDS approach fits suppliers that:

• Operate as fabric mills, integrated manufacturers, or raw material suppliers.
• Serve multiple brand customers with overlapping data requirements.
• Have the in-house capacity to maintain a verified data profile.

It does not fit single-brand operations, pure traders without their own production, or suppliers too small to maintain a verified profile.

Key insight: A supplier serving 30 brand customers may answer the same fibre composition question 30 times this quarter. Shared supplier-side DPP infrastructure cuts that to one entry plus 30 access approvals. The economics of compliance shift only when the supplier sees marginal cost approach zero.

How to start data collection before 2027

Companies should treat the next 18 months as a data architecture window, not a wait-and-see period. The delegated act for textiles is expected in late 2026 or early 2027, with mandatory application 18 months later. Brands that start collection only after the act is published will lose roughly half the compliance window to scoping and supplier onboarding.

A practical first 90 days looks like this:

1. Map your bestsellers against the 53 fields. Pick two to three top-volume products, run them through the JRC field list, and mark each field as available, partially available, or missing. This produces a concrete gap analysis at SKU level rather than abstract policy language.
2. Inventory your facility IDs. Build a list of every production facility involved in your bestsellers, from Tier 1 cut-and-sew to Tier 4 fibre. Assign or request a GLN for each. This is the single most underrated preparatory task.
3. Run a PEFCR screening for one product. A screening costs less than a full PEF and produces methodology-compliant footprint data. The screening result tells you whether your supply chain can support primary data collection at all.
4. Decide on the DPP carrier standard. GS1 Digital Link is the de facto choice. Choose it formally, request the necessary GS1 prefixes, and start serialising your bestsellers.
5. Open a supplier data conversation. Run a 30-minute pilot conversation with your three largest Tier 2 suppliers. Ask what data they already report to other customers and what schema they prefer. Their answer determines what your DPP can realistically promise.

The pilot phase identifies which fields are bottlenecks and which suppliers need the most onboarding support. Brands that complete this 90-day exercise enter the 2027 delegated act with a working data inventory and a known list of supplier gaps to close, instead of starting the conversation cold.

FAQ

Is the 53-field list legally binding?

No. The 53 fields come from the JRC's 3rd Milestone Technical Report on Textiles (January 2026), which is a Science for Policy advisory document. The legally binding requirements will only be set by the ESPR delegated act for textiles, expected in late 2026 or early 2027. The JRC list is the strongest current signal of what the delegated act will require, but the final mandatory or voluntary split, granularity rules, and access rights may change.

Which fields will brands struggle with the most?

Substances of concern, item-level traceability, and supplier facility IDs at Tier 3 and Tier 4. The JRC explicitly flags these as low industry readiness. SoC data requires upstream cooperation with dyehouses and chemical suppliers that most brands have never built. Item-level serialisation requires both physical carriers (NFC tags, serialised QR) and a back-end identity service. Tier 3 and Tier 4 facility IDs require mapping suppliers that most brands have never directly contacted.

Can a brand use a single DPP for an entire collection?

No, but parts of the data can be aggregated. Item-level fields such as the unique product ID and status flags must be unique per garment. Batch-level fields such as manufacturing date, country of origin, and SoC apply per production run. Model-level fields such as fibre composition, durability score, and PEF result can be reported once per SKU or style and reused across colour and size variants. The DPP infrastructure must support all three granularities simultaneously.

How do access rights work for substance of concern data?

SoC data carries legitimate interest access, which means the public-facing DPP view does not show it. Only authorities (customs, market surveillance, waste operators) and verified third parties such as licensed recyclers can request the SoC fields. The DPP service provider must enforce the access control through the schema rather than through manual review. This protects commercially sensitive chemical formulations while still meeting the substance traceability requirement under Article 7(5) ESPR.

Will small brands face the same data requirements?

Yes, the ESPR does not exempt SMEs from the data requirements, though the regulation does allow for proportionate implementation. A small brand selling 1,000 garments per year must provide the same fibre composition, SoC, facility ID, and footprint data as a large brand selling 1,000,000 garments per year. The cost per unit is therefore higher for small brands, which is why supplier-side DPP infrastructure and shared registries matter disproportionately for them.

When does data collection need to start to meet the 2028 deadline?

Data collection should be running in production by Q1 2027 at the latest. The delegated act is expected in late 2026 or early 2027 with an 18-month implementation window. Reaching DPP-ready data quality usually requires two to three full supplier cycles, especially for SoC and facility ID data. Starting in Q3 2026 with bestseller mapping and Tier 2 conversations gives a brand two to three cycles before the 2028 application date.

How does the textile DPP relate to existing labels?

The DPP does not replace any existing label. Care labels, fibre composition labels, and country-of-origin marks remain mandatory under their respective regulations (TLR, customs). The DPP layers a machine-readable digital twin on top of the physical label, with a QR or NFC carrier that resolves to the full DPP record. Brands typically reuse the same data points for both the printed label and the DPP, with the DPP carrying additional fields not suitable for printing.

Three concrete next steps

1. Screen one bestseller against the 53 fields. Run a free DPP field-coverage screening on one of your top-selling products. The screening produces a SKU-level inventory of what data you already have, what is recoverable from your supply chain, and what requires a methodology investment.
2. Read the existing supplier data playbook. Our guide on how to collect supplier data for digital product passports maps which data lives at each tier and compares five collection methods with cost benchmarks.
3. Book a 30-minute compliance review. Talk to our team about your data architecture, supplier mix, and 2028 readiness plan. We focus on textile and fashion brands selling into the EU and have piloted the field-coverage methodology across multiple product categories.

Sources: JRC Science for Policy Report on Textile DPP (2026), JRC Methodology Report JRC145830, ESPR Working Plan 2025-2030, ESPR legal text, GS1 Digital Link standard, PEFCR methodology v6.3.