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2009

Gas Transmission Data Sharing Infrastructure

Abstract

This project will entail a feasibility study to assess the viability of developing a secure, scalable, and interoperable data sharing infrastructure for National Gas Transmission (NGT), supporting regulatory compliance, stakeholder access, and alignment with NESO’s DSI initiative. The main objective is to gain a better understanding of how we share data currently and how this will change moving forward both within established participants and enabling new participants and stakeholders to benefit from National Gas’s data. This will support the wider NESO led DSI initiative. Using two NGT data systems as a use case for this study

The new learning that is foreseen to be developed from this project but not limited to is:

Understanding Data Ecosystem Dynamics - Learning what different stakeholder groups (internal and external) need from specific data systems.

AI-Driven Data Classification - Exploring the feasibility of using AI to classify structured and unstructured data, evaluating the balance between openness and security in data access.

Risk-Based Access Modelling - Understanding how different user roles (e.g., shippers, regulators, internal ops) interact with data of varying sensitivity.

Sustainability Integration - Conducting environmental impact assessments using tools like OpenLCA

Feasibility of Conceptual DSI Implementation - Evaluating the conceptual viability of a secure, scalable, and interoperable DSI for National Gas Transmission and understanding what foundational elements are needed before moving to implementation.

file format pdf download NIA_NGT0287_Gas_Transmission_Data_Sharing_Infrastructure.pdf
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2025-10-01
2025-10-29
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