Textile data in focus: TEXroad at the Textile ETP Annual Conference
EVENTPROJECTSDATA HUB
6/15/20261 min read
Shortly after, TEXroad joined the Textile ETP on Tour at RTT in Enschede. It was a practical setting to show the Data Hub in action and share how we work with RTT, MangoStone, and others in the TexPlus consortium.
TEXroad's Data Hub gives multi-stakeholder collaborations a solid data foundation — making joint work more efficient and ensuring successful results can be replicated. It brings together end-to-end data from textile collection through reuse, recycling, and textile weaving, building a complete picture of how textile resources are actually circulating.
Both events confirmed what we're hearing across the sector: reliable, interoperable textile data is increasingly recognised as a prerequisite for meaningful progress.
Data was a running thread through this year's Textile ETP Annual Conference in May — appearing across sessions and presentations as a shared point of attention for the sector.
Together with SAGE project partners Erion Textiles, GS1, and Avery Dennison, TEXroad ran a session on bringing textiles into the Green Deal Data Space (GDDS). The session combined an overview of our approach with a direct conversation: what data challenges are participants facing, how are they currently using data, and what possibilities do they see in data spaces for the textile sector?
Three challenges came up consistently across the room: a lack of standards and limited interoperability; unclear policy-related data and reporting requirements; and the plain complexity of data management itself.
How participants are currently using data ranged widely — from not using it in any structured way, to supply chain traceability, impact assessments, new business models, and structuring collaboration frameworks. That range itself points to the opportunity. Specific applications flagged included understanding colorants and finishes to optimise recycling, and improving data flows across complex supply chains. All of them are areas where data spaces can add real value.
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