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佛山市知识产权保护中心登记代理机构分级评定数据

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广东省数据知识产权存证登记平台2024-12-25 更新2025-02-11 收录
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佛山市知识产权保护中心登记代理机构分级评定数据主要内容为针对在佛山保护中心进行登记的代理机构,通过多个指标建立代理机构“个体画像”数据档案。从注册资金、机构信用、执业代理师数量、近2年专利申请代理量等计量维度,对登记代理机构进行科学评估,并根据不同权重,计算出代理机构的综合评价结果。最终目的是对其实施以信用为基础的分级动态管理。 数据特点为针对专利代理行业特性,将难以量化的代理机构资质及服务能力进行多层级、多维度的梳理,形成清晰可用的分级体系。 该数据不仅可以帮助政府部门等单位对登记代理机构进行客观评价,加强对非正常专利申请等失信行为的信用监管力度,充分运用分级评价结果,支持代理机构提升代理质量。同时可以为公众选择代理机构提供直观参考,降低试错成本,提高双向选择效率和服务响应速度。

Foshan Intellectual Property Protection Center's Registered Agency Grading Assessment Dataset The core content of this dataset is to establish individual profile data archives for agency institutions registered with the Foshan Intellectual Property Protection Center via multiple indicators. Scientific assessments are conducted on the registered agencies from measurement dimensions including registered capital, institutional credit, number of practicing patent attorneys, and patent agency volume over the past two years, and comprehensive evaluation results of the agencies are calculated based on different weight settings. The ultimate goal is to implement credit-based graded dynamic management for these agencies. Tailored to the characteristics of the patent agency industry, this dataset sorts out the hard-to-quantify agency qualifications and service capabilities in a multi-level, multi-dimensional manner, forming a clear and actionable grading system. This dataset can not only assist government departments and other entities in conducting objective evaluations of registered agencies, strengthen credit supervision over dishonest behaviors such as abnormal patent applications, and make full use of grading evaluation results to support agencies in improving their patent agency service quality; it can also provide intuitive references for the public when selecting agencies, reduce trial-and-error costs, and enhance the efficiency of two-way selection and service response speed.
提供机构:
佛山市知识产权保护中心
创建时间:
2024-12-25
搜集汇总
数据集介绍
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特点
该数据集包含佛山市知识产权保护中心对登记代理机构的分级评定数据,通过注册资金、机构信用、执业代理师数量、专利申请代理量等多个维度进行科学评估,实施以信用为基础的分级动态管理。数据格式为.xlsx,年更新频率,数据量为803条。
以上内容由遇见数据集搜集并总结生成
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