XBRL (Extensible Business Reporting Language) credible data storage method and credible data storage system

Abstract

The invention discloses an XBRL (Extensible Business Reporting Language) credible data storage method and a credible data storage system. The system comprises an XBRL secure storage and transmission system, wherein an XBRL document data checker and an XBRL document clearing tool. The method comprises three aspects that: at least one secure mode is adopted for data storage and transmission; document checking is adopted to ensure the reliability of a document; and the document is cleared. The secure storage and transmission functions of the XBRL credible data storage method and the system are achieved based on the traditional security strategy in combination with the advantages of various technologies, and various defects can be overcome. Due to introduction of a WEB service security architecture, the problems of information exchange between heterogeneous systems and heterogeneous platforms can be solved, the problem that the conventional security technologies and tools cannot be used can be solved at the same time, and the target of the method and the system is identical to the target of information exchange of XBRL between the heterogeneous systems.

Description

technical field [0001] The present invention relates to a trusted storage and processing method for enterprise data such as accounting statements, and in particular to a method and system for storing enterprise data using XBRL (eXtensible Business Reporting Language, eXtensible Business Reporting Language). Background technique [0002] XBRL is a standardized language based on XML (eXtensible Markup Language), which is specially used to prepare corporate financial reports, disclose corporate information in a network environment, and improve information utilization capabilities. XBRL provides a standardized method for publishing, reliably obtaining and automatically exchanging corporate financial reports in a variety of formats, but at the same time, there are many threats to the reliability and integrity of XBRL-encoded information, such as whether the taxonomy is used properly, accounting subjects And whether the data can be accurately mapped to the corresponding tags, and ...

AI Technical Summary

Problems solved by technology

[0013] 2. Impact on reliability

[0022] 2) Data redundancy and conflict

[0025] The business data in the instance file may violate certain business relationships that must be followed, such as the rule of "assets = liabilities + owner's equity" in the financial report, and the data in the instance file may not meet this requirement for some reasons

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