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GB/T 34945-2017 English PDF

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GB/T 34945-2017: Information technology -- Data provenance descriptive model
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PDF similar to GB/T 34945-2017


Standard similar to GB/T 34945-2017

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Basic data

Standard ID GB/T 34945-2017 (GB/T34945-2017)
Description (Translated English) Information technology -- Data provenance descriptive model
Sector / Industry National Standard (Recommended)
Classification of Chinese Standard L78
Classification of International Standard 35.100.70
Word Count Estimation 10,191
Date of Issue 2017-11-01
Date of Implementation 2018-05-01
Regulation (derived from) National Standard Announcement 2017 No. 29
Issuing agency(ies) General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China

GB/T 34945-2017: Information technology -- Data provenance descriptive model

---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.
Information technology-Data provenance descriptive model ICS 35.100.70 L78 National Standards of People's Republic of China Information Technology Data Traceability Description Model Posted.2017-11-01 2018-05-01 implementation General Administration of Quality Supervision, Inspection and Quarantine of People's Republic of China China National Standardization Administration released Directory Preface Ⅰ 1 Scope 1 2 Terms and definitions 1 3 ProVOC model review 1 4 various types of component description information 3 4.1 a class 3 4.2 two class 4 4.3 three class 6 5 Example 7

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. Please note that some of this document may be patentable. The issuing agencies of this document do not bear the responsibility of identifying these patents. This standard by the National Information Technology Standardization Technical Committee (SAC/TC28) and focal point. This standard drafting unit. Chinese Academy of Sciences Computer Network Information Center, China Electronics Standardization Institute, Chinese Academy of Sciences Geography And Resources Institute, China Science and Technology Information Institute, Shanghai Computer Software Technology Development Center, Beijing University of Science and Technology, Electronic Science and Technology Learn, Beijing Software and Information Services Exchange Co., Ltd., Inspur Software Group Co., Ltd., Zhiyutian Agriculture and Information Technology (Beijing) Co., Ltd. Company, Wuxi Zhongke Hengyuan Information Technology Co., Ltd., UnionPay Zhihui Information Services (Shanghai) Co., Ltd., Sichuan Changhong Jiahua Digital Technology Co., Ltd. Limited company and North Dragon Zeda (Beijing) Data Technology Co., Ltd. The main drafters of this standard. Hu Lian, Li Jianhui, Chen Xi, Wang Jing, Li Na, Guo Xiaofeng, Zhao Hui, Yin Haiqing, Zhouyuan Chun, Li Bing, Cai Lizhi, Long Kai, Xia Qi, Huang Xianzhi, Cui Yunpeng, Chen Shudong, Zhou Li, Jiang Xue, Gao Ruixin, Wang Jianhua. Information Technology Data Traceability Description Model

1 Scope

This standard defines a data traceability description model (hereinafter referred to ProVOC model, provenancevocabularymodel), Regulation Describes the description of the ProVOC model component. This standard applies to data collection, publishing, analysis and processing system designers and data users.

2 Terms and definitions

The following terms and definitions apply to this document. 2.1 Data source dataprovenance Data family Data Genealogy Evolution of data throughout the life cycle (from generation, dissemination to extinction) and evolvement of records of treatment.

3 ProVOC model review

The ProVOC model consists of three basic classes of data, activity and execution entities (hereafter called first-level classes). Data includes parameters and The dataset consists of two sub-class components (hereinafter referred to as the second-level class component), where "parameter" includes three parameters of time parameter, spatial parameter and condition parameter Type member (hereinafter referred to as a three-level member). The second-level component "data set" is closely related to the field of data traceability applications, and may be applied by specific applications Areas are further broken down into sub-categories of three or more levels (specific data sets). Activities are initiated by the executing entity or controlled by the executing entity One or a series of actions that affect. Execution entities include human execution entities (eg, people, organizations and companies) and non-human execution entities (Eg, services such as data provision). Human execution entities and non-human execution entities are secondary components of the execution entity. ProVOC model of various components in Table 1. Table 1 ProVOC model of various components A class of components two class components three class components data data set- parameter Time parameters Spatial parameters Condition parameters Activities - - Execution entity Human Execution Entity - Non-human implementing entity - Note. Subclasses of "Activities", "Human Execution Entities", "Non-Human Execution Entities" and "Data Sets" are not defined in this standard and are represented by "-" in the table. There are corresponding relations among various components of ProVOC model, including two major categories. subordination and interaction. Affiliation includes.

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