Education field full life cycle-oriented data governance platform

Abstract

The invention discloses a data governance platform oriented to the whole life cycle of the education field. The data governance platform comprises a metadata management system, a data standard management system, a data integration management system, a data quality management system, a data safety management system and a data asset management system. The metadata management system is used for defining, maintaining and applying metadata; the data standard management system is used for standard maintenance, standard generation and standard mapping of data; the data integration management system is used for unified data acquisition, data conversion and data cleaning; the data quality management system is used for improving data quality; the data security management system is used for desensitizing and encrypting data; and the data asset management system is used for performing unified management on the data.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data governance platform oriented to the whole life cycle of the education field. Background technique [0002] Data has become a factor of production, and its importance is becoming increasingly prominent. A scientific and reasonable data governance system is the normative guarantee for data security and data value. The education field pays less attention to data governance, and most of them are currently in the initial stage. The construction and use of the school's existing business systems are relatively complex, and the data integrity and accuracy in most business systems are poor. Data governance faces many challenges, mainly reflected in the following issues: [0003] 1) No data standard, or business system custom data standard; [0004] 2) The data quality is uneven, and there are contradictions in the data of various business systems; [0005] 3) The phenomen...

AI Technical Summary

Problems solved by technology

[0002] Data has become a factor of production, and its importance is becoming increasingly prominent. A scientific and reasonable data governance system is a normative guarantee for data security and data value. The education field pays less attention to data governance, and most of them are in the initial stage. The construction and use of the school's existing business system is relatively complicated. The data integrity and accuracy in most business systems are poor. Data governance faces many challenges, mainly reflected in the following problems:

[0003] 1) There is no data standard, or the business system defines the data standard;

[0004] 2) The data quality is uneven, and there are contradictions in the data of various business systems;

[0005] 3) The phenomenon of data islands between various business systems is serious, and data cannot flow between various business systems. Sharing data requires corresponding manufacturers to access, resulting in high sharing costs;

[0006] 4) In order to meet various reporting needs, teachers and students have to fill in various basic data every year, and fill in and report repeatedly. Important basic data cannot be maintained uniformly

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