Resource data management method and device, server and storage medium

Abstract

The embodiment of the invention discloses a resource data management method and device, a server and a storage medium. The method comprises the steps that resource data are acquired, metadata of the resource data are acquired, and the metadata comprise first attribute information of the resource data and second attribute information expanded on the basis of the first attribute information; processing the resource data based on the metadata of the resource data to obtain service resource data; service resource data is stored in a database. By adopting the embodiment of the invention, the resource data can be automatically managed, the cost of manual auditing and manual maintenance is reduced, and standardized storage and acquisition of the resource data are realized.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a resource data management method and device, a server, and a storage medium. Background technique [0002] With the development of enterprise informatization and digitization, how to manage resource data, so as to promote enterprise innovation and business expansion, has become a hot topic in the research of current resource data managers. [0003] At present, the management and sharing of resource data is realized through various exchange tools and various exchange methods, which is not easy to maintain and manage resource data. For example, due to the discretization of resource data, the sharing of resource data needs to be carried out across platforms, and the scope of resource data sharing also needs to be continuously revised, increasing manual review and maintenance costs. Therefore, how to integrate resource data and realize automatic management of resour...

AI Technical Summary

Problems solved by technology

[0003] At present, the management and sharing of resource data is realized through various exchange tools and various exchange methods, which is not easy to maintain and manage resource data

For example, due to the discretization of resource data, the sharing of resource data needs to be carried out across platforms, and the scope of resource data sharing also needs to be constantly revised, increasing manual review and maintenance costs

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