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HYT0367-2023: Classification and coding of big data for marine environmental security
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| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivered in | Standard Title (Description) | Status | PDF |
| HY/T 0367-2023 | English | 519 |
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Classification and coding of big data for marine environmental security
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HY/T 0367-2023
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Basic data | Standard ID | HY/T 0367-2023 (HY/T0367-2023) | | Description (Translated English) | Classification and coding of big data for marine environmental security | | Sector / Industry | Marine Industry Standard (Recommended) | | Classification of Chinese Standard | A24 | | Classification of International Standard | 07.060; 35.040 | | Word Count Estimation | 26,293 | | Date of Issue | 2023-07-11 | | Date of Implementation | 2023-09-01 | | Issuing agency(ies) | Ministry of Natural Resources of the People's Republic of China | HYT0367-2023: Classification and coding of big data for marine environmental security---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 07.060;35.040
CCSA24
Marine Industry Standards of the People's Republic of China
Classification and coding of big data for marine environment safety assurance
Published on 2023-07-11
2023-09-01 Implementation
Released by the Ministry of Natural Resources of the People's Republic of China
Table of contents
PrefaceⅠ
1 Scope 1
2 Normative reference documents 1
3 Terms and Definitions 1
4 Data classification principles and methods 1
5 Data coding principles and methods 2
6 Classification and coding of big data for marine environment safety assurance 3
Reference 23
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.
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 the Ministry of Natural Resources of the People's Republic of China.
This document is under the jurisdiction of the National Marine Standardization Technical Committee (SAC/TC283).
This document was drafted by. National Ocean Information Center, Tsinghua University.
The main drafters of this document. Liang Jianfeng, Song Xiao, Han Luyao, Wu Wenting, Geng Shanshan, Si Jia, Zhang Wei, Zheng Bing, Li Cheng, Wei Guanghao, Cui Xiaojian,
Huang Quanyi, Yang Jinkun, Han Chunhua, Sun Li'e, Chen Fei.
Classification and coding of big data for marine environment safety assurance
1 Scope
This document establishes the data classification principles and data coding principles for marine environment safety assurance big data, and describes the data classification methods and
The data coding method provides the classification and coding of marine environment security big data.
This document is applicable to the classification, coding and management of big data for marine environmental safety assurance.
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.
GB/T 13923 Basic geographic information element classification and coding
GB/T 17108-2006 Technical Guidelines for Marine Functional Zoning
GB/T 35295-2017 Information technology big data terminology
GB/T 20794 Marine and related industry classification
HY/T 123 Classification of sea area use
3 Terms and definitions
The terms and definitions defined in GB/T 35295-2017 and the following apply to this document.
3.1
big databigdata
It has the characteristics of huge volume, diverse sources, extremely fast generation, and variability, and is difficult to be effectively processed by traditional data architecture.
Data from large datasets.
[Source. GB/T 35295-2017,2.1.1]
3.2
The marine natural environment, resource development environment and rights protection environment related to the marine economy and human activities are in good condition and have not suffered any damage.
Irrecoverable damage or serious threat.
4 Data classification principles and methods
4.1 Classification principles
4.1.1 Scientificity
Select the most stable essential attributes or characteristics of ocean data as the basis and basis for classification.
4.1.2 Systematic
It is necessary to reflect not only the attributes of the elements, but also the mutual relationships between the elements. The attributes or characteristics of the selected marine environment security big data
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