T/XZBX 0188-2026 Active Group standards

T/XZBX 0188-2026 The specification for data exchange and sharing of construction project cost data

T/XZBX 0188-2026 The specification for data exchange and sharing of construction project cost data

Publish Date: 2026-03-16 Implement Date: 2026-04-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/XZBX 0188-2026
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Satellite broadcasting equipment
ICS Name: Comprehensive Application of Information Technology
Publish Date: 2026-03-16
Implement Date: 2026-04-01

Scope

The cost management of construction projects spans the entire life cycle of the project, involving investment estimates, design budgets, construction drawing budgets, tender control prices and bid prices, contract pricing, process measurement and payment, change orders, claims and settlements, final accounts, and cost analysis during the operation phase. The large amount of cost data generated in these stages exhibits the distinctive characteristics of "multiple sources, multiple disciplines, multiple granularities, high timeliness, and complex interdependencies". These data are frequently exchanged among construction units, consulting firms, design firms, general contractors, supervision units, cost software platforms, financial systems, and audit and supervision systems. However, the lack of unified data exchange and sharing rules often leads to inconsistent terminology, unstandardized coding systems, incompatible formats, version control issues, transmission errors, duplicate entries, and high reconciliation costs, which in turn trigger pricing disputes, settlement delays, audit risks, and lagging management decisions, affecting the investment control objectives and project governance efficiency of construction projects. Currently, there are several pain points in the exchange and sharing of cost data in engineering practice: First, data standards are not unified. Different units use different list coding systems, cost composition criteria, measurement rules, fee calculation parameters, tax rate applications, pricing models, and form structures, making it difficult to directly connect the same quantities or costs across different systems. Second, data carriers are diverse and lack structure, often transmitted in PDF, scanned documents, images, or non-standard forms, making it difficult to achieve machine-readable, verifiable, and traceable data. Third, the "data-evidence-basis" relationship is insufficient. There is a lack of unified indexing and linkage mechani

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