GB/T 34945-2017 in English
VALIDInformation technology-Data provenance descriptive model
- Issued on:2017-11-01
- Implemented on:2018-05-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$156.00
| Standard No: | GB/T 34945-2017 |
| Document status: | VALID |
| Title in English: | Information technology-Data provenance descriptive model |
| Title in Chinese: | 信息技术 数据溯源描述模型 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2017-11-01 |
| Implemented on: | 2018-05-01 |
| ICS Classification: | 35.100.70-Application layer |
| Professional Classification: | GB-National Standard |
| Related Keywords: | information technology data provenance description model gb/t
data provenance description model provoc model descriptive model introduction overview provoc model structure component |
| Related Topics: | Trace the source
GB/T 34945-2017 Beijing data source Technical Data English light source information light source information Experimental Data Model double humanization model GBT34945 GB/T 34945-2017 Information technology data traceability description model Data product registration information description Data traceability Aviation data description |
《GB/T 34945-2017信息技术 数据溯源描述模型》由TC28（全国信息技术标准化技术委员会）归口，主管部门为国家标准化管理委员会。
Introduction
Overview of Information Technology Data Provenance Description Model
GB/T 34945—2017 specifies the Data Provenance Description Model (ProVOC model), which aims to standardize the design and application of data in systems such as collection, publishing, analysis and processing. This standard was proposed by the National Technical Committee for Information Technology Standardization and is applicable to the management of data genealogy records and evolution information.
ProVOC model structure
| Component hierarchy | First-level class | Second-level class | Third-level class |
|---|---|---|---|
| Data | Parameter | Time parameter | - |
| Data | Parameter | Spatial parameter | - |
| Parameter | Conditional parameter | - | |
| Data | Dataset | - | |
| Activity | - | Used in Activity | - |
| Execution Entity | Human Execution Entity | - | - |
Component Relationship Analysis
There are two types of relationships between the components of the ProVOC model: subordination and interaction. For example, Human Execution Entity and Non-Human Execution Entity are subclasses of Execution Entity, while Time Parameter, Spatial Parameter and Condition Parameter belong to different levels of Parameter. These relationships are crucial in the practical application of data traceability. For example, spatial parameters are involved when sensors collect geographic location information.
Implementation recommendations
To ensure the effective implementation of the ProVOC model:
- Enterprises are advised to clarify data traceability requirements during the system design phase and define data sets and parameters based on specific application scenarios.
- During the development process, standard data description methods should be used first to ensure that the relationships between components are accurate.
- Perform regular audits of the data traceability system to verify the integrity and accuracy of the model, and optimize implementation strategies based on feedback.
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