T/XJBX 0159-2025 Active Group standards

T/XJBX 0159-2025 Digital traceability and error control of food inspection data technical guidance

T/XJBX 0159-2025 Digital traceability and error control of food inspection data technical guidance

Publish Date: 2026-01-23 Implement Date: 2026-02-01 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/XJBX 0159-2025
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Comprehensive Application of Information Technology
Publish Date: 2026-01-23
Implement Date: 2026-02-01

Scope

Food inspection data is an important basis for assessing food safety risks, ensuring enterprise quality control, collecting evidence for regulatory enforcement, handling recalls, and communicating with the public. With the increasing digitalization, networking, and platformization of inspection and testing activities, the data flow from "raw laboratory records - result calculation - report issuance - external exchange - archival review" has significantly extended. The data format has expanded from paper-based records to multiple types of carriers, including instrument raw files, electronic spreadsheets, database records, audit trail logs, electronic signatures, and interface exchange messages. The participants in data transfer have also expanded from a single inspector to multiple parties, including sampling personnel, sample managers, method leaders, equipment managers, quality managers, IT operation and maintenance personnel, and third-party platforms. In this context, the lack of unified data standards and traceability mechanisms can easily lead to unclear correlations between data and samples, untraceable methods and versions, missing key metadata, manual transcription errors, inconsistent result calculation criteria, confusion over units and rounding rules, arbitrary handling of outliers, incomplete audit trails, improper access control, and difficulty in detecting data tampering. This may result in erroneous or incomplete results, failure to pass qualification assessments and regulatory inspections, and other issues. The General Competency Requirements for Laboratories emphasize the accuracy, reliability, and traceability of results, providing a basic framework for data governance and error control. This document addresses the entire life cycle of food inspection data, proposing requirements for digital traceability, coding and identification, metadata and audit trails, version control and electronic signatures, data exchange, and archival storage. It also o

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