Participation in the National Conference on Data Trustee Models 2025 – ScaleTrust “Data trust models should be conceived as cornerstones of value creation,” emphasized Dr. Marcus Pleyer (State Secretary, BMF) at the opening of the DTM Networking Conference “Data Sharing for Digital Innovation – National Conference on Data Trust Models
CIRCMAN5.0 holds first Clustering and Cohesion Advisory Board Meeting On 19 September 2025, the CIRCMAN5.0 project successfully held its first Clustering and Cohesion Advisory Board (CCAB) meeting, bringing together experts, partners, and Advisory Board members to review progress, exchange ideas, and strengthen collaboration. The meeting opened with a project introduction
CIRCMAN5.0 at ESS Expo 2025 in Birmingham On 17–18 September 2025, CIRCMAN5.0 participated in the ESS Expo 2025 at The NEC in Birmingham – the UK’s largest event for environmental services. The exhibition brought together key stakeholders and innovators from across sectors including resource management, recycling, sustainable energy, decarbonisation, circular
Four new members join the CIRCMAN5.0 Advisory Board The CIRCMAN5.0 project has reached an important milestone: Four distinguished experts have joined the CIRCMAN5.0 Advisory Board (CCAB). With their extensive expertise in circular economy, digital transformation, and industrial innovation, they will provide valuable guidance to shape the project’s strategic direction and
Supply chains under pressure – Why the Supply Chain Radar in the ScaleTrust project could be a turning point Supply chain risks are no longer a side issue. Extreme weather, geopolitical tensions, and strikes can disrupt even well-run procurement operations. Small and medium-sized enterprises often face a particular challenge: they
Why we need to scale the data economy sustainably now A data-sovereign economy depends on trust. The ScaleTrust project addresses this by working closely with the Green Deal Dataspace (GDDS), a working example that shows sustainable, cross-sector data use can be scaled. The challenge Companies hold vast amounts of data.
