T/CDAA 001-2022 Active Group standards

Technical Requirements for the Data Governance Visualization Development Platform, T/CDAA 001-2022

T/CDAA 001-2022

Publish Date: 2022-05-10 Implement Date: 2022-05-11 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/CDAA 001-2022

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2022-05-10

Implement Date: 2022-05-11

Scope

Scope: This section specifies the overall architecture of the data governance visualization development platform, visual modeling, visual service construction, and visual governance tools, etc. This section is applicable to the data governance needs of various industries and can meet the data governance requirements of various industries for collecting, processing, and storing data from multiple data sources; Main technical content: The main content of this standard includes: a) Visual modeling. By using a graphical drag-and-drop method, the entire process of handling modeling tasks is generated, truly achieving "zero" coding. b) Visual service construction. It realizes the centralized and unified management of various service resources, supports users to customize the construction of services and apply for service use, and conducts quantitative operational evaluation of the service's effectiveness, solving a series of problems such as "how to obtain services", "how to build services", "how to manage services", and "how to make services easy to use", providing users with a one-stop service resource operation platform. c) Visual data governance. It is the planning, design, process control, and quality supervision of the entire life cycle of data resources. Through standardized data governance, the transparency, manageability, and controllability of data resources can be achieved, clarify data assets, improve the implementation of data standards, standardize data processing processes, improve data quality, ensure the safe use of data, and promote data circulation and value extraction.