What Data Must a Digital Product Passport Contain? Complete Data Requirements Guide
A block-by-block breakdown of the data a DPP must contain, specific to your product category, and why most of it depends on Tier 1/2 suppliers.
A Digital Product Passport's data blocks are specific to each product category (EV batteries: 79 mandatory attributes across 7 blocks; textiles: an estimated 56 across 12 blocks, Pre-DA). The real bottleneck is usually not knowing the list, it's retrieving and standardizing this data from Tier 1, Tier 2, and Tier 3 suppliers. DPP Pro's Data Readiness Assessment scores your product against the real blocks for your category.
A Digital Product Passport (DPP) must contain structured data across multiple categories, from product identifiers to end-of-life handling. The exact blocks and number of attributes are specific to each product category and defined by its delegated act, but most categories share a similar set of data themes.
The Real Challenge: Most of This Data Sits With Your Suppliers
Before looking at what data is required, it helps to understand where it actually comes from. Very little of a DPP's data originates inside the brand or manufacturer placing the product on the market. Material composition, substance declarations, carbon footprint inputs, and traceability records mostly live with Tier 1 suppliers, and increasingly with Tier 2 and Tier 3 suppliers further upstream, who may have never been asked to report this kind of data before.
This is the main practical obstacle to DPP compliance: not knowing which data is required, but retrieving it from a multi-tier supply chain where formats, systems, and reporting maturity vary supplier by supplier, then making that data interoperable so it can flow into a single, structured DPP record. A brand can define its data model perfectly and still be blocked for months waiting on a Tier 2 supplier's material declaration in a usable format. Supplier onboarding, data standardization, and interoperability tooling are therefore just as important to a DPP project as understanding the attribute list itself.
The Core Data Blocks
Regardless of product category, DPP data breaks down into recurring blocks. The number of specific attributes in each varies depending on your product and whether its delegated act is finalized or still in draft.
Identifiers & DPP Information
The foundation layer. Every other data point is linked back to this record.
Unique product identifier (GTIN, serial number, or batch/lot number)
DPP record ID and registry reference
Economic operator identifiers (manufacturer, importer)
Product Data & General Information
Product model, category, and classification codes
Place and date of manufacture
Technical documentation references
Material Composition & Substances
Bill of materials, including origin of critical raw materials, usually sourced from Tier 1 and Tier 2 suppliers
Presence of substances of concern (linked to the SCIP database)
Recycled content percentage
Environmental Footprint
Product Carbon Footprint (PCF) and lifecycle assessment (LCA) data
Energy and resource consumption during use
Durability & Performance Scores
Product-specific durability metrics, defined per category. For textiles, this includes robustness scores like washing resistance; for other categories, equivalents may cover mechanical durability or capacity retention.
Robustness / durability score
Recyclability score
Circularity & End-of-Life
Disassembly instructions
End-of-life handling and recycling guidance
Repairability information and spare parts availability
Supply Chain & Traceability
Supply chain actor identifiers, across Tier 1, Tier 2, and where relevant Tier 3
Traceability records across production stages
Due diligence documentation
Care, Use & Labelling
Care instructions
Labelling requirements
Conformity & Testing
Compliance certifications and test reports
Product-Specific Data
Additional attributes required for particular product categories, defined by their delegated act.
Data Requirements Vary by Product Category and Delegated Act Status
Product category
Status
Notes
Batteries
Delegated act finalized under Regulation (EU) 2023/1542, applies from 18 February 2027
79 mandatory attributes across 7 blocks, plus 7 voluntary attributes
Textiles (Apparel/Garments)
Delegated act still in development under Regulation (EU) 2024/1781 (ESPR)
56 attributes across 12 blocks, based on current draft proposals (Pre-DA estimation)
Digital Product Passport requirements more broadly are established under the Ecodesign for Sustainable Products Regulation, Regulation (EU) 2024/1781, which sets out DPP provisions in its Articles 9 to 15. Battery-specific requirements instead fall under the separate Regulation (EU) 2023/1542 on batteries and waste batteries. Each product category's exact attribute list is set through its own delegated act adopted under these frameworks, not in the framework regulations themselves.
Where Each Block Typically Comes From
Mapping data blocks to the systems and roles that usually hold them helps identify who to involve early in a DPP project.
Data block
Typical source system
Usually owned by
Identifiers & DPP information
ERP, master data management
IT / digital transformation
Product data & general information
PIM
Product management
Material composition & substances
PLM, supplier declarations (Tier 1/2)
Supply chain / sourcing
Environmental footprint
LCA software, sustainability platforms
ESG / sustainability manager
Durability & performance
QMS, lab test reports
Quality / R&D
Circularity & end-of-life
PLM, design documentation
Product design
Supply chain & traceability
Supplier portals, ERP
Supply chain / procurement
Care, use & labelling
PIM, packaging specs
Product management
Conformity & testing
QMS, certification bodies
Legal / compliance officer
Mandatory vs Voluntary Data: Why Voluntary Still Matters
Every category includes a Voluntary block, informational only and not counted toward the compliance or completeness score. It is tempting to skip it entirely, but voluntary data serves two practical purposes. First, it lets brands differentiate on sustainability credentials beyond the legal minimum, which matters to B2B buyers and retailers increasingly screening suppliers on more than bare compliance. Second, categories still awaiting a finalized delegated act, like textiles, tend to see voluntary attributes migrate into mandatory ones once the act is adopted. Collecting them early avoids a scramble later.
Common Mistakes to Avoid
Treating the textile Pre-DA estimation as final. The attribute list is based on current draft proposals and can still change before the delegated act is adopted.
Confusing mandatory and voluntary attributes when reporting a completeness score internally, which overstates or understates real readiness.
Assuming one product category's block structure applies to another. Batteries and textiles already show meaningfully different blocks and attribute counts; treat each category's requirements as its own list.
Starting data collection at the brand level only, without engaging Tier 1 and Tier 2 suppliers early, which is consistently the longest lead-time item in a DPP project.
Not Sure Which Attributes Apply to You?
Because the blocks and attribute counts are specific to your product category and how far along its delegated act is, mapping your own data against the requirements can be time-consuming. DPP Pro's Data Readiness Assessment tool walks through the actual blocks for your category, attribute by attribute, and scores what you already have versus what's missing.
Currently available:
EV Batteries: full assessment against the finalized delegated act (79 mandatory attributes across 7 blocks, plus voluntary)
Textiles (Apparel): a Pre-DA estimation based on current draft proposals under ESPR 2024/1781 (56 attributes across 12 blocks), since the textile delegated act has not yet been finalized
More product categories will be added to the assessment as their delegated acts progress.
If you specifically need textile data requirements in depth, including JRC-sourced attribute detail, see our dedicated Fashion & Textile DPP Data Requirements Guide.
How to Use This Checklist
Start by taking stock of what data you already have in existing systems (ERP, PLM, PIM), block by block, using the ownership table above to identify who to involve. Then run the Data Readiness Assessment for your category to get a completion score, and prioritize the blocks with the most missing attributes, and the suppliers most likely to hold them, ahead of your category's delegated act deadline.