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Metadata-based service data asset pricing method

A technology for serving data and metadata, applied in the field of data circulation, which can solve the problems of value uncertainty, scarcity and diversity

Pending Publication Date: 2020-07-31
贵阳大数据交易所有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the large amount, variety and high-speed basic characteristics of big data, coupled with the uncertainty, scarcity and diversity of its value, lead to two-way uncertainty problems that are difficult to solve in traditional pricing models and pricing strategies in service data pricing.

Method used

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  • Metadata-based service data asset pricing method
  • Metadata-based service data asset pricing method
  • Metadata-based service data asset pricing method

Examples

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Embodiment Construction

[0036] Embodiments of the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, and therefore are only examples, rather than limiting the protection scope of the present invention.

[0037] refer to figure 1 As shown, a metadata-based service data asset pricing method provided in this embodiment includes the following steps:

[0038] S01: Register the data to the metadata database to form metadata, and generate the metadata record description for the data. The data has three basic attributes: cost value, industry classification value and usage mode. The industry classification value is based on the national standard of "National Economic Industry Classification" It is determined that the national standard of "National Economic Industry Classification" was first released in 1984, revised in 199...

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Abstract

The invention belongs to the technical field of data circulation, and provides a metadata-based service data asset pricing method, which comprises the steps of S01, registering data into a metadata database to form metadata, and generating record description of the metadata for the data, the data having three basic attributes of a cost value, an industry classification value and a use mode; S02, evaluating the integrity of the data and obtaining the quantized value of the integrity of the data; S03, evaluating the consistency of the data and obtaining a quantized value of the data consistency;S04, counting data volume values; S05, evaluating the usability of the data and obtaining the quantized value of the usability of the data; S06, evaluating the scarcity of the data and obtaining thequantized value of the scarcity of the data; and S07, calculating the total value of the data assets. The service data asset pricing method based on the metadata has the characteristics of quantifiability, interpretability and operability.

Description

technical field [0001] The invention relates to the technical field of data circulation, in particular to a method for pricing service data assets based on metadata. Background technique [0002] Metadata, also known as intermediary data and relay data, is data describing data, mainly information describing data attributes, and is used to support functions such as indicating storage location, historical data, resource search, and file recording. Metadata can be regarded as an electronic catalog. In order to achieve the purpose of cataloging, it is necessary to describe and collect the content or characteristics of the data, and then achieve the purpose of assisting data retrieval. [0003] With the increasing development of big data technology, data itself has become a commodity. However, the basic characteristics of large amount, variety and high speed of big data, coupled with the uncertainty, scarcity and diversity of its value, lead to the problem of two-way uncertainty...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/907G06Q30/02
CPCG06F16/907G06Q30/0206
Inventor 王明月王涛朱国辉
Owner 贵阳大数据交易所有限责任公司
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