|
US$519.00 ยท In stock
Delivery: <= 5 days. True-PDF full-copy in English will be manually translated and delivered via email.
GB/T 42381.120-2023: Data quality - Part 120: Master data: Exchange of characteristic data: Provenance
Status: Valid
| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivered in | Standard Title (Description) | Status | PDF |
| GB/T 42381.120-2023 | English | 519 |
Add to Cart
|
5 days [Need to translate]
|
Data quality - Part 120: Master data: Exchange of characteristic data: Provenance
| Valid |
GB/T 42381.120-2023
|
PDF similar to GB/T 42381.120-2023
Basic data | Standard ID | GB/T 42381.120-2023 (GB/T42381.120-2023) | | Description (Translated English) | Data quality - Part 120: Master data: Exchange of characteristic data | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | N10 | | Classification of International Standard | 25.040.40 | | Word Count Estimation | 26,267 | | Date of Issue | 2023-09-07 | | Date of Implementation | 2024-04-01 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 42381.120-2023: Data quality - Part 120: Master data: Exchange of characteristic data: Provenance
---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 25.040.40
CCSN10
National Standards of People's Republic of China
Data Quality Part 120.Master Data.
Characteristic Data Exchange. Traceability
Provenance
(ISO 8000-120.2016,IDT)
Published on 2023-09-07
2024-04-01 Implementation
State Administration for Market Regulation
Released by the National Standardization Administration Committee
Table of contents
Preface III
Introduction IV
1 Scope 1
2 Normative reference documents 1
3 Terms and Definitions 2
4 Abbreviations and notations 2
4.1 Abbreviations 2
4.2 Notation 2
5 Basic concepts and assumptions 2
6 Traceability data model 2
6.1 Diagram 2
6.2 Date and time3
6.3 ISO 6523 identifier 3
6.4 Attribute value assignment 3
6.5 Traceability event 3
7 Data traceability record 4
8 Consistency requirements 5
Appendix A (Normative) Document Identification 6
Appendix B (informative) Information to support implementation 7
Appendix C (informative) Scenario 8
Appendix D (Informative) Use Case 13
Reference 19
Foreword
This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents"
Drafting.
This document is Part 120 of GB/T 42381 "Data Quality". GB/T 42381 has released the following parts.
---Part 8.Information and data quality. Concepts and measurements;
---Part 61.Data Quality Management. Process Reference Model;
---Part 62.Data quality management. Organizational process maturity assessment. Application of relevant standards for process assessment;
---Part 63.Data quality management. process measurement;
---Part 120.Master data. Characteristic data exchange. Traceability;
---Part 130.Master data. Characteristic data exchange. Accuracy;
---Part 140.Master data. Characteristic data exchange. Integrity.
This document is equivalent to ISO 8000-120.2016 "Data Quality Part 120.Master Data. Characteristic Data Exchange. Traceability".
Please note that some content in this document may be subject to patents. The publisher of this document assumes no responsibility for identifying patents.
This document is proposed by China Machinery Industry Federation.
This document is under the jurisdiction of the National Automation System and Integration Standardization Technical Committee (SAC/TC159).
This document was drafted by. China Institute of Standardization, Zhejiang Weiying Intelligent Technology Co., Ltd., Guangzhou Winning Brand Research Institute, Internal
Mongolia Dongrun Energy Technology Co., Ltd., Guangdong Dexin Xiangyuan High-tech Materials Co., Ltd., Hubei Yixing Intelligent Equipment Co., Ltd., Dongguan
Huayan New Materials Technology Co., Ltd., Guangdong Ruijiang Cloud Computing Co., Ltd., Beijing University of Aeronautics and Astronautics, Chinese Academy of Sciences Computer Network
Network Information Center, Zhejiang University.
The main drafters of this document. Yang Qinghai, Ding Yongda, Li Wuxian, Xu Chen, Liu Quandong, Wang Zhiqiang, Wu Defa, Xu Xuhui, Wang Jun, Mai Jian,
Hong Yan, Deng Pan, Hu Lianglin, Gu Fu, Yu Zhonghua, Yue Gaofeng, Liu Shouhua, Xu Kaicheng, Yin Shurui, Gao Liang, Wen Na.
Introduction
Create, collect, store, maintain, transmit, process and present information and data in order to support business processes in a timely and cost-effective manner, which requires solving
Determine the relevant characteristics of information and data quality, and also need to measure, manage and report information and data quality.
GB/T 42381 defines the relevant characteristics that determine information and data quality, and provides methods for managing, measuring and improving information and data quality.
Methods. These given methods can be used to assess the quality of information and data. expectations and requirements for a given approach, oriented to the current business case
Making cuts is also important.
GB/T 42381 includes parts that apply to all data types, as well as parts that apply to specific data types. GB/T 42381 both
It can be used independently or in conjunction with a quality management system.
GB/T 42381 "Data Quality" is intended to be composed of the following series.
---Parts 1 to 99.Overview of data quality. This series gives the structure of the data quality standards series, which cover
Basic concepts, data quality management, data quality assessment and other comprehensive contents.
---Part 100~Part.199.Master data quality. Master data describes individuals, organizations, locations, items, services, processes, rules and
standard. This family of standards describes the characteristics that define the quality of master data. These features include. semantics, grammatical encoding, consistency of requirements
integrity, data provenance, accuracy, completeness and data governance. This series of standards specifies some master data information that is used in the overall
to ensure the reliability of data communication between the information sender and the receiver.
---Part.200~Part 299.Transaction data quality. Transaction data describes time events, including individuals, organizations, locations, items,
Services, processes, rules and standards. This family of standards describes the characteristics that define transactional data quality. These features include. semantics, language
Legal coding, consistency of requirements, data provenance, accuracy, completeness and data governance. This series of standards specifies some business matters
Service data information, which generally ensures the reliability of data communication between the information sender and the receiver.
---Part 300~Part 399.Product data quality. Product data quality is a measure of the correctness and applicability of product data. Product
Data can ensure that the data can be provided to users who need the data in a timely manner. Product data is the data needed for products from concept to manufacturing.
according to. Therefore, products include not only computer-aided design (CAD) data, but also computer-aided manufacturing (CAM), computing
Data engineering (CAE) data, product data management (PDM) data, and other types of data. Product data quality series standards
The main intention of the standard is to improve the efficiency of coordinated product development by reducing duplication of work on the data receiving end.
GB/T 42381 "Data Quality" is intended to consist of the following parts.
---Part 1.Overview. The purpose is to explain the scope and structure of GB/T 42381 (all parts), and to explain GB/T 42381
Relationship to other standards.
---Part 2.Terminology. The purpose is to provide terminology and vocabulary used in GB/T 42381 (all parts).
---Part 8.Information and data quality. Concepts and measurements. The purpose is to illustrate the measurement when performed in quality management processes and systems
Prerequisites for information and data quality.
---Part 51.Data Governance. Policy Statement for Data Exchange. The purpose is to support data governance policy statement exchange and automated testing.
Test whether the data set meets the requirements of the policy statement.
---Part 61.Data Quality Management. Process Reference Model. The purpose is to describe the model's ability to support assessment and improvement processes.
capabilities and improve the organization's maturity in data quality management.
---Part 62.Data quality management. Organizational process maturity assessment. Application of relevant standards for process assessment. The purpose is to describe the group
How organizations use the maturity model to assess the maturity of their processes related to data quality management specified in GB/T 42381.61.
---Part 63.Data quality management. process measurement. The purpose is to specify a process suitable for use when assessing process maturity.
process measurement method.
---Part 65.Data quality management. Process measurement scales. The aim is to establish a simple measurement method to evaluate organizational
Implementation of data quality management.
---Part 66.Data quality management. Evaluation indicators for data processing in production operations management. The purpose is to identify the factors that arise in a manufacturing organization
Process maturity for data quality management of production operations management data.
---Part 81.Data Quality Assessment. Data Collection. The purpose is to apply analytical techniques to the element analysis of data in practical use.
analysis method.
---Part 82.Data Quality Assessment. Creating Data Rules. The purpose is to specify how different data rules apply to various classes
type of data.
---Part 100.Master Data. Characteristic Data Exchange. Overview. The purpose is to provide an introduction to master data, the data architecture of master data, and high-level
level data model and a description of each part in the group.
---Part 110.Master data. Characteristic data exchange. syntax, semantic encoding and conformance to data specifications. The purpose is to provide
Computer-enabled inspection requirements for the exchange of master data consisting of characteristic data.
---Part 115.Master data. Quality identifier exchange. Syntax, semantics and parsing requirements. The purpose is to provide components for the exchange of master data
Requirements for identifiers of various parts.
---Part 116.Master data. Quality identifier exchange. Application of ISO 8000-115 authorized entity identifiers. The purpose is to express
Authorized Legal Entity Identifier (ALEI) requirements.
---Part 120.Master data. Characteristic data exchange. Traceability. The purpose is to describe the source of master data consisting of characteristic data
Requirements for the presentation and exchange of information.
---Part 130.Master data. Characteristic data exchange. Accuracy. The purpose is to provide an accurate view of the master data consisting of characteristic data
Representation and exchange of sexual information.
---Part 140.Master data. Characteristic data exchange. Integrity. The purpose is to provide a complete view of the master data consisting of characteristic data
Representation and exchange of sexual information.
---Part 150.Master Data. Quality Management Framework. The purpose is to provide groups with appropriate roles and responsibilities for data quality management.
Key considerations for weaving.
---Part 210.Sensor data. Data quality characteristics. The aim is to provide a qualitative characterization of the discrete data recorded by the sensor.
---Part 311.Product Data Quality (PDQ-S) Application Guide for Shape. The purpose is to analyze product data about shape
Guidance is provided on the application of quality (PDQ-S).
This document is Part 120 of GB/T 42381 "Data Quality", which can be used alone or in combination with other parts.
This document includes a conceptual data model for data traceability and provides requirements for obtaining and exchanging data traceability information. Data traceability information
It can be used to detect data echoes and can also be used to determine the credibility and value of data, providing the necessary capabilities to support data accuracy claims.
Statement requirements regarding data accuracy are covered in GB/T 42381.130.
This document can be used with any other standard that specifies the formal syntax of a data set.
Appendix A gives an identifier that can be used to unambiguously identify this document in open information systems.
Data Quality Part 120.Master Data.
Characteristic Data Exchange. Traceability
1 Scope
This document specifies the requirements for expressing and exchanging master data traceability information that constitutes characteristic data, and supplements the requirements of ISO 8000-110.
Note 1.ISO 8000-110 stipulates that this data is expressed as attribute values. This document provides additional requirements for attribute values when traceability information is required. Trace back
Origin is the history or origin of a property value.
This document does not specify a complete model of feature data, nor does it specify an exchange format for feature data with data traceability information.
Note 2.The above models and exchange formats are specified in other documents referenced in this document (such as ISO 22745-40).
The following content falls within the scope of this document.
---Data traceability scenario (see Appendix C);
---Requirements for obtaining and exchanging data traceability information;
---Conceptual data model for data traceability information.
The following are outside the scope of this document.
---Exchange format of data traceability information;
---A scheme for registering and parsing organizational identifiers and personal identifiers;
---Data tracing of non-feature data represented as attribute values;
---Configuration management;
---Change control;
---Identifier syntax;
---Identifier parsing.
Certain requirements specified in this document may apply to the exchange of data, but such data does not include data consisting of characteristic data expressed as attribute values.
main data.
Note 3.ISO 8000-100 outlines the ISO 8000 master data quality series and describes its overall structure.
Appendix A specifies the identification of this document in the information system.
Appendix B gives information to support implementation.
Appendix C gives the business scenario that illustrates this document.
Appendix D gives several use cases.
2 Normative reference documents
The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, the dated quotations
For undated referenced documents, only the version corresponding to that date applies to this document; for undated referenced documents, the latest version (including all amendments) applies to
this document.
ISO 8000-2 Dataquality-Part 2.Vocabulary
ISO 8000-110 Data quality Part 110.Master data. Characteristics Data exchange. Syntax, semantic encoding and conformance to data specifications
|