Fashion & Textile DPP: The Complete Data Requirements Guide
What data must a textile DPP contain? 54 core attributes, 4 ecodesign parameters (DO1-DO4), T2 supply chain challenges - mapped to JRC 145830 and ESPR.
A Fashion & Textile DPP requires 54+ core data attributes across 11 categories, covering fibre composition, four ecodesign parameters (DO1 robustness, DO2 recyclability, DO3 recycled content, DO4 carbon footprint), and supply chain traceability to at least Tier 2.
If you work in fashion or textiles, your Digital Product Passport will be one of the most data-intensive compliance exercises your business has ever undertaken. Not because the EU wants to be burdensome, but because the sustainability story of a garment genuinely requires data from every tier of a supply chain that most brands have never fully mapped.
This guide covers exactly what data your textile DPP must contain, which data is legally binding today versus proposed, and where your biggest collection challenges will be.
The regulatory timeline you need to work backwards from
The Textiles Delegated Act (the regulation that will define your exact mandatory data fields) is expected to be formally adopted in early-to-mid 2027. Once published, an 18-month compliance countdown begins. That puts DPP enforcement for textiles at mid-to-late 2028, or early 2029 at the latest.
That sounds distant. It is not. The data you cannot collect today, from supply chain partners who have no digital infrastructure, will take 12 to 18 months to unlock. Companies that start their data readiness programme in 2027 will be building a fire while the clock runs.
Date Event
27 Sept 2026 ECGT anti-greenwashing enforcement. Generic sustainability claims prohibited without substantiation
30 Dec 2026 EUDR: cotton farm geolocation required for large/medium operators
Late 2026 JRC 4th Milestone, resolves DO1 A-G class boundaries, DO2 algorithm, DO3.2 non-denim minimums
Late 2027 Textiles Delegated Act (draft proposal published)
Early-mid 2028 Textiles Delegated Act (formal adoption)
Mid 2029 DPP enforcement begins
How to read the legal status of each data point
One of the most important things to understand before building your data collection programme is that not all data requirements are equal. JRC 145830 (March 2026) establishes four legal statuses:
[LAW] : In-force EU legislation, binding now. Examples: fibre composition under the Textile Labelling Regulation, REACH SVHC disclosure, Tier 1 manufacturer information.
[STUDY] : JRC preparatory study proposal. Informs but does not yet create legal obligations; pending the Delegated Act. This covers most of the ecodesign parameters (DO1 to DO4) and recycled content requirements.
[SCENARIO] : Configurable thresholds or planning estimates that will be confirmed in the Delegated Act. Never hard-code these values. Key examples: DO1 A-G class boundaries, DO2 elastane threshold, DO3.2 minimum recycled content for non-denim categories.
[CONTESTED] : In law or guidance but actively disputed by industry associations.
Why this matters for your IT architecture: Any system you build now must treat [SCENARIO] values as configuration parameters, not constants. When the Delegated Act is adopted, only parameter updates should be required. No code re-architecture.
The 11 core data categories
The workbook developed with Greenstitch maps 54 core data attributes applicable across all Fashion & Textile product categories. These fall into 11 groups:
1. Identifiers & DPP information — DPP schema version, unique product identifier (GS1 Digital Link), unique economic operator and manufacturer identifiers, data provenance metadata per field. All [LAW], all mandatory.
2. Product data & general information — Economic operator and manufacturer details, manufacturing country, production date, product category, commercial name, lifecycle status. Mostly [LAW].
3. Material composition & substances — Fibre composition (top-level and by component), recycled content (DO3.1 disclosure + DO3.2 compliance gate), substances of concern. This is where the data collection challenge begins — most of this sits at Tier 2.
4. Environmental footprint — DO4 carbon and environmental footprint (manufacturing stage only), A-G performance class, product water footprint, microfibre release potential (preparatory).
5. DO1 Robustness score — Washing resistance: a 0-10 cumulative score across three sub-parameters (visual inspection ISO 15487, spirality ISO 16322-3, dimensional change ISO 3759). Third-party accredited lab only — no self-declaration.
6. DO2 Recyclability score — 0-10 score based on fibre composition, construction type, and recycling disruptors (elastane content, bonded constructions, PU coatings). Full algorithm pending JRC 4th Milestone.
7. Circularity & end-of-life — Consumer EoL instructions, EPR scheme registration, separate collection symbol. All [LAW].
8. Supply chain & traceability — Tier 1 manufacturer (mandatory), Tier 2 fabric/yarn mill ([SCENARIO] for Phase 1), Tier 3+ fibre origin, due diligence annual report.
9. Care, use & labelling — Care instructions (with a critical link to DO1 ISO 6330 wash programme), EU Declaration of Conformity, labels and symbols explanation.
10. Conformity & testing — Test reports proving compliance (including DO1 certificate), country-of-origin labelling compliance.
11. Voluntary — Supply chain certifications (GOTS, Fairtrade, Better Cotton), ZDHC wastewater conformance, eco-labels, repair service information, lower-impact care recommendations.
Deep dive: the four ecodesign parameters
The most distinctive — and most demanding — part of the Textile DPP is the DO1-to-DO4 ecodesign framework. Understanding each parameter now determines how you scope your data collection and lab testing programme.
DO1 — Robustness score (washing resistance)
This is a product durability signal, not a lifetime prediction. It measures how a garment performs after five standardised wash cycles (ISO 6330).
The test produces a cumulative 0-10 score from three sub-parameters:
Visual inspection (colour change, pilling, seam integrity): ISO 15487
Spirality / torque: ISO 16322-3 (woven: BC 5-6%, BAT 4-5%)
Dimensional change: ISO 3759 (woven: BC +/-3-4%, BAT +/-2-3%)
Critical operational point: the care instructions on your product label must align exactly with the ISO 6330 wash programme used in the DO1 test. A mismatch causes a test failure. This creates a direct link between your quality and labelling teams that most companies have never established.
A-G class boundaries are pending the JRC 4th Milestone (late 2026). Cost per model: approximately EUR 500 according to JRC modelling assumptions. Store the raw 0-10 score now; map to the A-G class once boundaries are confirmed.
DO2 — Recyclability score
The DO2 score measures whether the product can be recycled at end of life, based on what it is made of and how it is constructed.
Key inputs:
Fibre composition — elastane percentage is critical. An illustrative [SCENARIO] threshold: products with >15% elastane score 0 (non-recyclable information label). PA6-rich blends have a different threshold logic.
Construction type — bonded or glued constructions are major recycling disruptors
Non-separable trims — metal rivets, welded components, inseparable coatings
The full DO2 algorithm has not yet been published. It will be resolved at the JRC 4th Milestone. All thresholds are [SCENARIO] and must remain configurable.
For leggings, activewear, stretch denim, and swimwear brands: start measuring your elastane percentages with precision now. The DO2 score 0 is a labelling requirement, not a product ban — but it is commercially significant.
DO3 — Recycled content (two-tier system)
The textile DPP introduces a two-tier recycled content framework:
DO3.1 (information disclosure): Disclose your recycled content percentage by weight — open-loop versus closed-loop, pre-consumer versus post-consumer. This is an information requirement only, not a pass/fail gate. Critically, it must be collected at batch level, because recycled content can vary between production runs depending on the yarn lot.
DO3.2 (compliance gate): Minimum mandatory recycled content thresholds. Denim is the only category confirmed at JRC 3rd Milestone: at least 20% post-consumer mechanical recycled content, OR at least 30% pre-industrial recycled content. All other categories are [SCENARIO] pending the JRC 4th Milestone and the Delegated Act.
Chain-of-custody certification is required: GRS (Global Recycled Standard) or RCS. The distinction between closed-loop (textile-to-textile) and open-loop (rPET from bottles) must be explicitly declared.
DO4 — Carbon and environmental footprint
DO4 covers the manufacturing stage only — Tiers 1 through 3, from confectioning to yarn production. Raw material extraction (Tier 4) is excluded from Phase 1.
The most important insight: dyeing and finishing (LCS2d, Tier 2) accounts for 41-63% of the total manufacturing environmental impact. This is the highest-return data collection target, and it sits entirely with your fabric mills — your most digitally resistant supply chain partners.
Phase 1 permits secondary (database) data where primary mill data is unavailable. Hybrid models dominate Phase 1 in practice: primary data from cooperative mills, secondary data for resistant ones.
The binding constraint: Tier 2 data
The most consequential insight from this data framework is also the most uncomfortable one: your brand is legally responsible for the DPP, but the data that matters most sits at Tier 2 — your fabric mills, wet processors, dyers, and finishers.
Tier 2 suppliers hold:
Recycled content certification (DO3)
Substances of concern and ZDHC wastewater data (SoC)
Carbon and water footprint for dyeing/finishing (DO4 LCS2d)
Fibre composition details for complex blends
These suppliers are also, in many cases, the least digitally mature actors in the supply chain. Many resist disclosure of exact chemistry for competitive reasons. Lead time to structured data collection from a resistant T2 base: 12 to 18 months minimum.
This is not a software problem. It is a supplier engagement and contract renegotiation problem. Starting now, before the Delegated Act creates urgency, gives you negotiating room.
Industry-specific requirements
Beyond the 54 core attributes, each sub-category carries additional data requirements.
Apparel (garments, activewear, outerwear, workwear)
Seven additional attributes cover fabric construction type, garment construction method (sewn / bonded / welded / knit-to-shape), trims inventory, thermal insulation properties for insulated garments, DWR and PFAS-free status for waterproof outerwear, elastane percentage as a DO2 direct input, and disassembly instructions for recyclers.
The PFAS / DWR attribute deserves particular attention: PFAS restrictions under REACH are binding law. Any waterproofing treatment must declare whether it is PFAS-free. With ECGT anti-greenwashing enforcement active from September 2026, "PFAS-free" claims without substantiation become non-compliant.
Home textiles (bedding, towels, curtains, table linen)
Specific to this category: finished dimensions, thread count or GSM, flammability compliance (critical for children's bedding and public-building curtains), absorbency rating for towels, filling material declaration including animal welfare certification for down products, separability of filling from shell for duvets, and an extended durability test suite (50 wash cycles for pilling, dimensional stability after hot wash).
Accessories (bags, belts, scarves, hats, gloves)
Accessories combine textile and non-textile materials, creating a more complex compliance picture. Additional requirements: declaration of primary non-textile materials (leather, metal, plastic), hardware and metal component inventory, leather and animal-derived material declaration including tannage type and LWG audit status, and REACH compliance testing for nickel release and chromium VI in leather. For luxury accessories, the DPP can double as an authenticity verification mechanism — an item-level Phase 2 feature worth designing for now.
Footwear (all data points are [SCENARIO])
Footwear is within ESPR scope but is not covered by the first Textiles Delegated Act. A specific footwear DA is anticipated post-2027. All footwear data points in current planning frameworks are [SCENARIO] estimates. Plan now, but hold all configuration loosely.
Data granularity: MODEL, BATCH, and ITEM
A critical architectural decision: at what level of granularity does each data point need to be collected?
MODEL level — one record for all units of the same product style/SKU. Phase 1 minimum for most attributes.
BATCH level — one record per production lot. Mandatory for recycled content (DO3) and substances of concern, because the values genuinely vary between production runs depending on the yarn lot and dye batch.
ITEM level — one serialised record per physical unit. Phase 2 only (~post-2033). Required for repair history, resale provenance, and ownership chain.
What granularity level will the Textile DA require?
Item-level is the most demanding granularity by far — it requires manufacturing serialisation, individual unit tracking through the supply chain, and a significant increase in platform complexity. For most fashion categories, item-level is also the least likely to be mandated in Phase 1. The value proposition for the Textile DA is transparency and circularity, not individual unit lifecycle tracking. That use case belongs to Phase 2 (~post-2033), driven by resale, repair, and authenticity scenarios — relevant primarily for luxury goods.
Batch level is the pragmatic target for Phase 1. It sits at the right intersection: it captures the data that genuinely varies between production runs — recycled content percentage (DO3), substances of concern, manufacturing date — without requiring the full serialisation infrastructure that item-level demands. Most brands that already manage quality control at lot level have the operational foundations for batch-level DPP data. The incremental cost is manageable; the compliance value is real.
That said, the Delegated Act has the final word. The JRC 4th Milestone (late 2026) and the DA itself (early-mid 2028) will define minimum granularity requirements per attribute and per product category. Some attributes may require batch level as a minimum; others may remain model-level sufficient.
Practical note — how to use the granularity selector in the Data Readiness Assessment tool: The DPP.PRO tool allows you to assess your readiness at Model, Batch, or Item level independently. Use this to understand how your data gap picture changes across granularity levels:
Model — your Phase 1 baseline. Start here.
Batch — identifies which attributes require additional lot-level data collection (recycled content, SoC, manufacturing date).
Item — shows you the Phase 2 horizon. Useful for architecture planning, not immediate compliance.
Your readiness score is calculated at the selected granularity level. Most teams should complete Model first, then assess the delta to Batch.
Practical readiness checklist
Before the Textiles Delegated Act is published, audit your current state against the framework:
Identifiers & traceability
Can we generate or assign a GS1 Digital Link or equivalent unique product identifier at model level?
Do we have structured records of our Tier 1 manufacturers by facility (GLN or equivalent)?
Have we begun Tier 2 supplier engagement for data collection?
Material data
Do we have precise fibre composition data — including elastane % separately — from certified mill specs (not just product label tolerances)?
Do we know which products contain PFAS / DWR treatments?
Have we identified our substances of concern exposure across our main fabric suppliers?
Ecodesign parameters
Have we begun DO1 robustness testing on priority product models?
Are care label conditions aligned with the ISO 6330 programme used in DO1 tests?
Can we calculate or estimate a DO4 carbon footprint at manufacturing stage?
Recycled content
Do we have GRS/RCS chain-of-custody certification for products with recycled content claims?
Can we distinguish closed-loop from open-loop recycled content in our certification documentation?
System readiness
Can our product data systems store attribute-level data provenance (source type, confidence level)?
Are DO2 and DO3 threshold values stored as configurable parameters, not hard-coded constants?
Use DPP.PRO Data Readiness Assessment to score your readiness by attribute group: https://digital-product-passport.pro/Data_Assessment/new
Ready to assess your textile data readiness by attribute group? Use DPP.PRO Data Readiness Assessment — now live for Fashion & Textiles (JRC 145830 aligned). Or browse vetted DPP solution providers on DPP PRO.