GA 407.1-2003
Active
T/ZSA 22.2-2020
Active
Group standards
T/ZSA 22.2-2020 Epidemic Prevention and Control Population Big Data Platform Part 2: Management Standards
T/ZSA 22.2-2020
Price:
$ 20.00
Basic Information
Standard Code:
T/ZSA 22.2-2020
Standard Type:
Group standards
Standard Status:
Active
is_force_gb:
no
CCS Name:
Electronic components and information technology
ICS Name:
The application of information technology in other fields
Publish Date:
2020-12-18
Implement Date:
2020-12-19
Scope
Scope: This part specifies the organization and management of the population big data platform for epidemic prevention and control, the management and protection of data and information, the protection of data transmission processes, the management of data access permissions, the audit of access logs, the protection of statistical-level data security, the protection of individual data security, data backup and recovery, and verification methods. This part applies to the information security and privacy protection of population big data collected and processed from various data sources during the epidemic prevention and control period; Main technical content: According to the needs of epidemic prevention and control, by making full use of modern information technology, network technology, and computer technology to collect, process, and process various data sources, it is possible to apply population big data in epidemic prevention and control management, epidemic risk analysis, and community epidemic prevention services. In order to make the "Epidemic Prevention and Control Population Big Data Platform" more scientific, reasonable, accurate, and standardized, the China Zhongguancun Standardization Association organized the development of the "Epidemic Prevention and Control Population Big Data Platform" standard. This standard consists of three parts. This part is "Part 2: Management Norms". This part serves as a management norm standard for big data platforms in the context of the epidemic, and is mainly applied in related epidemic scenarios such as population return and migration monitoring, regional population gathering early warning, regional population grid management, population registration management, and high-risk population identification. From the outset of its design, it meets the actual needs of epidemic prevention and control work. By effectively identifying regional populations, it forms a comprehensive prevention and control management platform stand
Development Information
Same series standard
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