ISO/TR 6277:2025Blockchain and distributed ledger technologies (DLT) — Data flow models for blockchain and DLT use cases

This document uses a set of models that describe the flows of different types of data between distributed ledger technologies (DLT) and related systems, as well as between different DLT nodes.

It provides a descriptive analysis of data flows in the development of use cases, as well as the basis for understanding the characteristics of DLT data flows, to support DLT application design and system analysis.

The models referenced are in accordance with ISO 23257 and the use case analysis approach provided in ISO/TR 3242.

ISO/AWI TR 24878-2 New and emerging blockchain/DLT use cases

Part 2: UN SDG 16 - Peace, justice and strong institutions

ISO/DTR 24878-1 New and emerging DLT/Blockchain use cases

Part 1: SDG 11 — Sustainable cities and communities

The proposed standard will set the Reference Data (Model/Schema) to describe and identify carbon credit projects and units. The standard supports participants, regulators and infrastructure providers in international carbon credit markets by facilitating exchange of information on the assets being created, transacted, and tracked. The scope of this proposal includes: - Defining a common carbon credit data taxonomy to help harmonise data fields, formats, and models across different carbon credit registries maintained by carbon crediting programs or other parties; - Considerations for adapting this data model for use in financial markets. The scope of this proposal excludes: - Setting thresholds or otherwise evaluating carbon credit quality; - Standardizing processes for how carbon credits are created, measured, verified or traded - Guidance on who can issue, trade or purchase carbon credits.

This document defines a framework for blockchain-enabled micro-credentials supporting workforce development, lifelong learning, and skills portability. It specifies:

• DLT Trust and Governance Infrastructure for credential issuance, verification, and lifecycle management;

• interoperability of Learning outcomes Credential Representation across platforms, sectors, and skills and occupation taxonomies (e.g. ESCO, O’NET, etc);

• alignment with decentralized identity and verifiable credential standards (e.g. W3C Verifiable Credentials and DIDs);

• semantic interoperability through linkage with reference models for lifecycle processes including issuance, update, revocation, expiry, and stacking of micro-credentials;

• Audit trail DLT based of Learning process and records.

Distributed Ledger Technologies can provide governance evidence infrastructures supporting transparency, auditability, accountability and trust across workforce credential ecosystems.

This document establishes general principles for and methods of processing personal identifiable information (PII) in BC/DLT systems and provides requirements and recommendations derived from legal requirements and recommendations in the GDPR. The document clarifies relevant terms for both technical as well as legal experts. It establishes a methodological framework that helps identifying types of PII as well as mapping legal principles of the GDPR to technical measures available to improve data protection or mitigate the risk of processing PII in BC/DLT-systems. This document is aimed towards establishing a high level of privacy in BC/DLT-systems. This document is applicable to all BC/DLT-systems.

This document defines a process for reviewing and analyzing smart contract code. It specifies supporting methods to allow identification and mitigation of smart contract security vulnerabilities.

ISO Technical Specifications for Taxonomy and Classification for Smart Contracts.