DPP Data: What to Collect Now and What to Wait For

The Waiting Game Is a Losing Strategy

One of the most common reasons brands give for delaying DPP preparation is that the requirements are not yet final. The Delegated Acts for textiles — the detailed technical specifications for what data must be in a DPP and how it must be measured — are still being finalized by the European Commission. EU standardization bodies are still working through technical standards for the IT system architecture. The Product Environmental Footprint (PEF) methodology for textiles has not yet been confirmed.

All of this is true. And none of it is a valid reason to wait.

The uncertainty applies to a specific subset of DPP data — the methodology-dependent calculations and performance metrics. A large portion of the data a DPP requires is straightforward, objective, and fully collectable today. Brands that conflate "some things are unclear" with "nothing can be done" are making a strategic error that will cost them significantly as 2028 enforcement approaches.

This guide draws a clear line between the two types of data — and gives you a practical framework for acting on both.

The Core Distinction: Objective vs Methodology-Dependent Data

Across the nine DPP data categories, every individual datapoint falls into one of two types:

Type 1: Objective "Direct" Datapoints

These are facts. They do not require a calculation methodology, a standardization decision, or a European Commission delegated act to be defined. They exist, they are knowable, and collecting them requires only that you ask the right questions of the right people in your supply chain.

Examples: Where was this garment assembled? What country did the cotton come from? What is the fibre composition of the body fabric? Does this product contain any REACH substances of concern above 0.1% by weight? What are the care instructions?

These datapoints are the foundation of any DPP. They can be collected now, structured now, and loaded into a DPP-ready system now.

Type 2: Methodology-Dependent Datapoints

These are calculated values or performance assessments whose methodology is either not yet standardized at the EU level, or where the standard is still being developed and may change before the Delegated Acts are finalized.

Examples: The product's carbon footprint expressed as a specific CO₂e value. A recyclability score. A durability rating. An environmental footprint calculated using the Product Environmental Footprint (PEF) method.

The underlying raw data that feeds into these calculations — energy consumption records, water use figures, transport distances — can and should be collected. But the calculated outputs should not be published as consumer-facing DPP claims until the methodology is confirmed, for reasons explored in detail below.

What to Collect Now

The following represents the core of what is ready to collect today — the Minimum Viable Data set for DPP preparation.

1. Manufacturing Location Data

For every product in your range, document the name, location (country, city), and — where available — a standardized facility identifier for every production facility involved in the key manufacturing stages: fibre processing, spinning, weaving/knitting, dyeing/finishing, and cut-make-trim assembly.

This data is the single most important starting point. It provides the geographic basis for supply chain transparency, enables calculation of transport-related emissions using country-level emission factors, and satisfies a core DPP requirement that is not going to change regardless of what the Delegated Acts say.

2. Country of Origin of Raw Materials

Document where the primary raw materials in your products originate — the country where cotton was grown, where synthetic fibres were produced, where animal fibres were sourced. This is distinct from the country of manufacture (where the garment was assembled) and provides the starting point for upstream supply chain traceability.

3. Material Composition by Component

Go beyond the overall garment composition you already declare on the care label. Document the fibre breakdown for each individual component: body fabric, lining, collar, cuffs, trim, thread, interlining. This component-level detail is what the DPP requires — and it is also what recyclers need to sort products correctly at end-of-life.

4. Supplier Names and Identifiers

Build a structured registry of your Tier 1 and Tier 2 suppliers with consistent naming, geographic data, and — where possible — standardized identifiers such as those used in existing industry traceability systems. Consistency here prevents the data quality problems that plague manual data management.

5. Chemical Compliance Documentation

Gather and digitize your existing REACH compliance records, SVHC substance declarations, and any relevant test reports. Map these to specific products. The DPP requires substance of concern information to be disclosed at the product level — and this data almost certainly exists somewhere in your compliance files already.

6. Certifications in Digital Format

Collect all certifications relevant to your products — GOTS, OEKO-TEX, GRS, EU Ecolabel, and others — in digital format, with certificate numbers, issuing bodies, validity dates, and scope clearly documented and linked to specific products. Certifications that exist only as PDFs in a shared drive are not DPP-ready.

7. Care Instructions in Structured Format

Your care instructions are already required on EU garment labels. For DPP purposes, they need to exist in a structured digital format — not just as an image of the care symbol strip, but as machine-readable data that can be served via API to DPP interfaces.

8. Repair and End-of-Life Information

Document what you know about each product's repairability (are spare parts available? are repair instructions documented?) and end-of-life pathway (is this product recyclable? what needs to be separated before recycling?). This qualitative information does not require a standardized metric — it can be captured now as structured text and updated as standards develop.

Three baseline datapoints — manufacturing location, country of origin of raw materials, and type of process and materials used — combined with publicly available coefficient datasets, are sufficient to begin computing indicative product impact values. You do not need perfect data to start building understanding of your product footprint.

What to Wait For (But Prepare For)

The following datapoints depend on methodology decisions that are still in progress. You should not publish calculated values for these in consumer-facing DPP interfaces until the relevant standards are confirmed — but you should be actively preparing the underlying data and infrastructure to do so quickly once clarity arrives.

1. Product Carbon Footprint (PCF)

Calculating a product-level carbon footprint requires a defined methodology that specifies system boundaries, allocation rules, data quality requirements, and how results should be expressed. For textiles, the EU is developing this through the Product Environmental Footprint (PEF) framework.

The problem is not that brands lack footprint data. Many have invested in LCA studies and have carbon figures for their products. The problem is that those figures were calculated using a methodology that may or may not align with what the Delegated Acts ultimately require. Publishing a carbon footprint claim in a DPP consumer interface that later turns out to have used the wrong methodology exposes a brand to Green Claims Directive liability.

What to do now: Collect the underlying data — supplier energy records, transport distances, country-level grid emission factors. Document your current LCA methodology. Be ready to recalculate using the standardized PEF approach once it is confirmed.

2. Recyclability Score or Rating

How recyclable a garment is depends on its fibre composition, construction method, the presence of mixed materials, coatings, and bonded elements — but also on the recycling infrastructure available in a given market. A garment that is technically recyclable using a specific technology may not be recyclable in practice if that technology is not deployed at scale.

EU standardization work on recyclability metrics for textiles is ongoing. The definition of what counts as "recyclable" and how it should be communicated to consumers has not been finalized.

What to do now: Document the construction details that will feed recyclability assessments — fibre composition by component, bonded vs stitched construction, presence of coatings or laminates, component separability. This structural data is what any recyclability methodology will require as input.

3. Durability and Reparability Ratings

Standardized metrics for how durable a textile product is — how long it should last, how resistant it is to specific types of wear — are not yet defined for the textile category. Similarly, a standardized reparability index for garments (of the type already developed for electronics under ESPR) does not yet exist.

What to do now: Document what you know qualitatively — design intent lifespan, available spare parts, repair instructions, seam and stitch quality standards. This information can be published in a DPP as descriptive data while quantitative metrics await standardization.

4. Water and Energy Consumption Metrics

Water and energy use data from dyeing, finishing, and other wet processing stages is highly relevant to DPP environmental information requirements. However, how this data should be collected, verified, and expressed in a standardized format for consumer communication is still being defined.

What to do now: Begin requesting energy and water consumption data from your key manufacturing suppliers — particularly dyehouses and finishing facilities. Even if you cannot yet use this data in a published DPP, having it structured and documented gives you a significant head start when standards are confirmed.

The Green Claims Complication

The EU Green Claims Directive adds an important layer of complexity to the methodology-dependent datapoints. It requires that any environmental claim made to consumers be substantiated by verifiable, robust evidence — and that the methodology used to generate the claim be disclosed and defensible.

This creates a difficult situation for brands that genuinely want to be transparent about their environmental performance. If you publish a carbon footprint figure in your DPP consumer interface using a methodology that does not align with what the Delegated Acts ultimately standardize, you may be exposed to Green Claims liability — even if your data is accurate.

The result, for many brands, is a phenomenon sometimes called "greenhushing" — staying silent about environmental performance not because you have something to hide, but because the legal risk of saying the wrong thing in the wrong way outweighs the benefit of saying anything at all. This is a rational response to regulatory uncertainty, but it is a temporary state. When the methodology standards are confirmed, brands that have their underlying data ready will be able to move from silence to substantiated transparency quickly.

Using Proxy Data Intelligently

For brands that want to build a preliminary understanding of their product impacts while awaiting final methodology guidance, proxy data approaches are available and appropriate for internal decision-making — even if not for public consumer claims.

The principle: take the objective data you have collected (manufacturing location, material type, process type) and combine it with publicly available coefficient datasets (country-level grid emission intensities, water stress indices, process-level emission factors) to generate indicative impact estimates.

These estimates will not be precise enough for consumer-facing carbon footprint claims. But they are more than sufficient to:

• Identify which products and supply chain stages have the highest impact
• Prioritize supplier engagement on impact reduction
• Build internal understanding of your product portfolio's environmental profile
• Inform design decisions for future collections
• Prepare your data infrastructure for the moment when standardized methodologies arrive

A Practical Action Plan

Data Type	Action Now	Action When Standards Confirmed
Manufacturing locations	Collect and structure immediately	Link to DPP unique identifier system
Material composition (component level)	Request from suppliers, document per product	Publish in DPP consumer interface
Chemical compliance (REACH/SVHC)	Digitize and link to products	Publish in DPP restricted access layer
Certifications	Digitize with validity dates, link to products	Publish in DPP consumer interface
Care instructions	Structure as machine-readable data	Publish in DPP consumer interface
Carbon footprint	Collect underlying data, document methodology used	Recalculate using PEF standard, publish
Recyclability	Document construction details and material separability	Apply standardized recyclability assessment
Durability	Document design intent, qualitative reparability info	Apply standardized durability index when available
Water and energy data	Begin requesting from key suppliers	Express using standardized format per Delegated Acts

Frequently Asked Questions

Can I start publishing a DPP to consumers before all the standards are confirmed?

Yes — but with care. A consumer-facing DPP that includes objective data (composition, supply chain, care instructions, certifications) and clearly labels any impact figures as indicative or based on a specific named methodology is achievable today. What to avoid is making unqualified environmental claims (such as a standalone CO₂ figure) using a methodology that may not align with final regulatory requirements. Piloting with objective data first is the low-risk approach.

How long do I have before the methodology-dependent standards are confirmed?

The Delegated Acts for textiles are expected by end of 2025. CEN/CENELEC harmonized standards for the DPP system are also due by 31 December 2025. After adoption, there will be an implementation period before enforcement begins in 2028. This means the window for collecting methodology-dependent data, recalculating against confirmed standards, and building compliant DPP infrastructure is approximately 2026–2027.

What if my suppliers cannot provide the data I need?

Document the gap. A structured record of what data you requested, which suppliers responded, and what gaps remain is itself a form of compliance evidence — it demonstrates that you are actively working toward full data coverage. In the meantime, use industry-average proxy data for internal assessment purposes while continuing to develop supplier data-sharing relationships.