Most fashion brands thinking about Digital Product Passports assume it is a one-time data exercise: fill in the fields at the point of sale and move on. The EU's newly published DPP data specification methodology describes something more ambitious. The DPP is designed to be a living record that evolves as the product moves through its life cycle.
Core DPP vs Life-Cycle Log
The methodology introduces a clear structural distinction within the DPP itself. It proposes that passport data should be divided into two parts:
The Core DPP. This is the original data provided by the manufacturer at the time of placing the product on the market. It includes compliance information, design specifications, material composition and declared environmental performance metrics. The methodology describes this as "immutable or subject to extremely restricted edit rights by the original manufacturer only."
The Life-cycle Log. This is an append-only ledger linked to the Core DPP. Events that happen after the product leaves the factory are recorded here: repairs, software updates, refurbishment, ownership transfers and end-of-life collection. Each entry is time-stamped and attributed to the actor who created it.
The Core DPP is the product's birth certificate. The Life-cycle Log is its ongoing record.
Why This Matters for Fashion
For garments, the life-cycle log concept is most relevant to products with meaningful second lives. A jacket that gets professionally repaired, a pair of jeans that passes through a resale platform, a coat that goes through a refurbishment programme: these events change the product's condition, composition and value.
The methodology includes a detailed textile-specific use case: a consumer notices damage to a hoodie, scans the QR code and accesses repair instructions, compatible replacement part information and tutorial content through the DPP. If the repair is carried out, the event can be logged in the Life-cycle Log.
For brands with take-back or repair programmes, this creates a verifiable trail. A refurbished garment sold through a second-hand channel can carry a documented history that increases buyer confidence and supports the business case for circular models.
The Seven Trigger Events
The methodology identifies seven categories of events that should trigger updates to the Life-cycle Log:
- Correction, update or addition of information. Errors found in the original data, address changes for the manufacturer, or additional supporting materials like repair videos.
- Professional repair and maintenance. Component replacement, repair details and repairer identification.
- Software or firmware updates. Version changes that affect product performance or functionality.
- Refurbishment and preparation for resale. Condition assessment, component replacements and new warranty information.
- Component upgrading. Replacement of user-serviceable parts with upgraded alternatives.
- Transfer of ownership. Recording the change without storing personal data.
- End-of-life collection. Date, facility and intended treatment path when the product enters waste management.
Not all of these apply equally to textiles. Software updates are less relevant for garments than for electronics. But repair events, refurbishment records and end-of-life collection data are directly applicable.
Governance and Authentication
The methodology is clear that unregulated editing would undermine the entire system. Every entry in the Life-cycle Log must be digitally signed or otherwise linked to the actor who created it. Permissions to add data are granted based on verified roles, not open access.
This means a certified repairer can log a repair event but cannot edit the manufacturer's original material composition data. A recycler can record end-of-life collection but cannot modify the product's carbon footprint. The Core DPP remains the manufacturer's responsibility. The Life-cycle Log captures what happens next.
How ENVRT Approaches Product Data
ENVRT LAB™ generates the core environmental data that sits in the manufacturer's Core DPP: climate impact (CO₂e) and water scarcity impact at the product level, on a cradle-to-gate basis and aligned with ISO 14040 and PEFCR methodology. This is the product-level data foundation that the Life-cycle Log builds upon.
Brands building structured product data now are preparing the Core DPP layer that the ESPR framework requires, using the methodology and standards it references.
If you want to understand how to build product-level data that supports both DPP compliance and circular business models, get in touch with the ENVRT team.
