Lab Report · RegTech / Sustainability

To Share or Not to Share: Orchestrating Trustworthy Data in Global Value Chains

arXiv:2606.12788 · Han-Teng Liao and Chang-Yi Kao · Global value chains, data sovereignty, CBAM, SSbD, RegTech

This report summarizes the paper’s scientific intent: design trustworthy data-sharing architectures that turn sustainability compliance from a reporting burden into a capability for semiconductor and petrochemical value chains.

Overview

The paper distinguishes voluntary sustainability pledges from mandatory regulatory accountability. In particular, it contrasts SBTi as a voluntary corporate-level disclosure framework with CBAM as a mandatory EU trade regulation requiring product-level verification of embedded emissions.

The authors propose an IDSA-based RegTech reference architecture for sovereign data exchange across semiconductor, petrochemical, logistics, customer, and regulatory actors. Digital Product Passports become the main vehicle for product-level evidence, while Agentic AI supports autonomous compliance workflows and FinTech connects compliance data to green financing.

Infographic Summary

Infographic titled Demystifying Trustworthy Data in Global Value Chains, summarizing arXiv 2606.12788 with panels for lab report, accountability shift, IDSA-based RegTech architecture, classical perspective, key insights, and next steps.
The report focuses on trustworthy data workflows: CBAM, SSbD, Digital Product Passports, IDSA connectors, Agentic AI, FinTech integration, and capability-building.

Engineering Statement

Intent

Understand how sovereign data exchange can support sustainability compliance across global semiconductor and petrochemical value chains.

Evidence

CBAM and SSbD requirements, IDSA data-sovereignty standards, Digital Product Passport architecture, the Taipei–Penang technology corridor, and stakeholder alignment matrices.

Outputs

A RegTech reference architecture, roadmap logic, stakeholder roles, capability demands, and next steps for compliance automation.

Next steps

Map data gaps, identify CBAM and SSbD requirements, pilot IDSA/DPP workflows, prototype Agentic AI compliance agents, and connect verified data to green financing.

How this paper reframes compliance

The central shift is from voluntary pledges to mandatory, product-level evidence. Sustainability claims are no longer only communications artifacts; they increasingly require auditable data tied to production lines, facilities, supply-chain nodes, and product passports.

The paper’s reference architecture treats data sharing as the first engineering problem. Sovereign data exchange allows firms to share enough evidence for accountability while preserving control over sensitive industrial data.

That reframes compliance as capability-building. A firm that builds interoperable data workflows early can reduce regulatory risk, improve operational visibility, and participate in sustainable finance and trusted global value chains.

Explore Further · Next Steps

📄 Read the paper and notebook

The notebook should load an Engineering Statement YAML, map stakeholders, distinguish voluntary versus mandatory frameworks, and output next-step artifacts for trustworthy data workflows.

🧠 Continue learning

  • Review CBAM and product-level carbon accounting.
  • Learn how Digital Product Passports structure compliance evidence.
  • Compare IDSA-style data spaces with ordinary data-sharing arrangements.

🤝 Participate locally

  • Use the report as a reading guide.
  • Map one real supply-chain data flow from source to product passport.
  • Identify where Agentic AI could validate, monitor, or update compliance evidence.