Path:
Home >
GB/T >
Page225 > GB/T 44811-2024
Price & Delivery
US$279.00 · In stock · Download in 9 secondsGB/T 44811-2024: Internet of things - Data quality evaluation methods
Delivery: 9 seconds. True-PDF full-copy in English & invoice will be downloaded + auto-delivered via email. See
step-by-step procedureStatus: Valid
| Std ID | Version | USD | Buy | Deliver [PDF] in | Title (Description) |
| GB/T 44811-2024 | English | 279 |
Add to Cart
|
3 days [Need to translate]
|
Internet of things - Data quality evaluation methods
|
Click to Preview a similar PDF
Basic data
| Standard ID | GB/T 44811-2024 (GB/T44811-2024) |
| Description (Translated English) | Internet of things - Data quality evaluation methods |
| Sector / Industry | National Standard (Recommended) |
| Classification of Chinese Standard | L70 |
| Classification of International Standard | 35.240.01 |
| Word Count Estimation | 14,193 |
| Date of Issue | 2024-10-26 |
| Date of Implementation | 2025-05-01 |
| Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration |
GB/T 44811-2024: Internet of things - Data quality evaluation methods
---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.
Internet of things - Data quality evaluation methods
Methods for evaluating IoT data quality
ICS 35.240.01
CCS L 70
National Standard of the People's Republic of China
Released on 2024-10-26
2025-05-01 Implementation
State Administration for Market Regulation
The National Standardization Administration issued
Table of Contents
Preface ... Ⅲ
1 Scope ... 1
2 Normative references ... 1
3 Terms and Definitions ... 1
4 Evaluation framework ... 1
5 Data Scope Definition ... 2
6 Data quality check ... 2
6.1 Evaluation Indicators 2
6.2 Matching Rules ... 3
6.3 Inspection Implementation ... 3
7 Weight Analysis ... 3
7.1 Overview ... 3
7.2 Business Weight Analysis ... 3
7.3 Data Weight Analysis ... 4
8 Evaluation result calculation ... 4
8.1 Overview ... 4
8.2 Quality Check Score Calculation ... 4
8.3 Evaluation Index Score Calculation 4
8.4 Calculation of comprehensive evaluation score ... 4
9 Evaluation guarantee ... 5
9.1 Institutional Guarantee 5
9.2 Technical Support ... 5
9.3 System Assurance ... 5
9.4 Security Assurance ... 5
References ... 6
Foreword
This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1.Structure and drafting rules for standardization documents"
Drafting is required.
Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.
This document was proposed and coordinated by the National Technical Committee for Information Technology Standardization (SAC/TC 28).
This document was drafted by. China Electronics Standardization Institute, CGN Intelligent Technology (Shenzhen) Co., Ltd., Guangdong Power Grid
Co., Ltd., China Electronics Information Industry Group Co., Ltd., China Petrochemical Corporation, Beijing Satellite Environmental Engineering Research Institute
Institute, China Southern Power Grid Co., Ltd., Beijing Tongniu Information Technology Co., Ltd., Qingdao Xinbit Electronic Technology Co., Ltd.,
Zhejiang Digital Economy Development Center, Inner Mongolia Autonomous Region Big Data Center, China Unicom Digital Technology Co., Ltd., Shanghai SoftChina Information Technology Co., Ltd.
Company, Hainan Power Grid Co., Ltd., Guoxin Youyi Data Co., Ltd., China Academy of Space Technology, Shenbang Intelligent Technology
(Qingdao) Co., Ltd., China Telecom Group Finance Co., Ltd., Xingyao Energy (Beijing) Technology Co., Ltd., Beijing Quanlu Communication Signal Research Institute
Research and Design Institute Group Co., Ltd., Zhejiang Panshi Information Technology Co., Ltd., and Zhejiang Fangxin Standard Technology Co., Ltd.
The main drafters of this document are. Wang Weizhong, Chen Weixiong, Zhang Chaochao, Wang Chuntao, Jiang Nan, Li Manli, Li Bing, Gao Liwei, Wang Ruiqi,
Wang Ao, Li Huan, Chen Bing, Li Zhichun, Chen Xi, Chen Yali, Chen Jinbao, Xia Hu, Li Caihong, Zhou Yuhan, Yang Lin, Zhang Jun, Zhang Yin,
Zhang Shaoze, Zhang Hongqiang, Wang Min, Wang Guorui, Pei Qiugen, Chen Bin, Yang Qiuyong, Fu Limin, Guo Tianxu, Lu Junjuan, Zhang Zeqian,
Jia Xiaojie, Song Boyu, Wang Lan, Liu Guojie, Wang Zhiyong, Bai Xue, Zhu Shurui, Hu Zhiheng, Shen Zhongyi, Wu Junwei, Zhang Lei, Feng Caochong,
Chen Yongjin, Wang Yi, Li Aotie, Cai Zhi, Dong Weiwei, Guo Wei.
IoT data quality evaluation method
1 Scope
This document describes a data quality assessment method for IoT application scenarios.
This document is applicable to guide the establishment and review of data quality evaluation processes throughout the entire life cycle of IoT data.
2 Normative references
This document has no normative references.
3 Terms and definitions
The following terms and definitions apply to this document.
3.1
Data quality
The degree to which the characteristics of data meet stated and implied requirements when used under specified conditions.
[Source. GB/T 36344-2018, 2.3]
3.2
dataset
A collection of data that has a certain theme, can be identified and can be processed by computer.
[Source. GB/T 36344-2018, 2.6]
3.3
data lifecycle
The process of transforming raw data into actionable knowledge.
3.4
Quality evaluation procedure
Operations used to apply and report quality assessment methods and results.
4 Evaluation framework
In the IoT application scenario, data quality evaluation is based on evaluation assurance and is carried out through data scope definition, and the accuracy,
Data quality is checked based on indicators such as consistency, completeness, standardization, timeliness and accessibility, and the weights are analyzed and evaluated.
The implementation process of data quality evaluation mainly includes data scope definition, data quality inspection, weight analysis, and evaluation result calculation.
and evaluation guarantee, as shown in Figure 1.
...
