知识产权（专利）数据

帮助各地知识产权管理部门有效地管理各市、区（县）、园区的知识产权情况
1、对区域内专利各类指标实现动态管理和监控服务，包括万人发明专利拥有量、每十亿元GDP发明专利拥有量和每万亿元GDP高维持年限发明专利拥有量、专利质量等。
2、及时统计分析区域内专利发展状况，从年度、所辖区域、专利类型、申请人、研发团队、代理机构等分类进行统计分析，动态地形成分析报告。
3、实时统计分析区域核心产业知识产权发展状况，为制订相关产业发展政策提供依据。

This dataset is designed to assist local intellectual property (IP) administrative departments in efficiently managing IP-related work across cities, districts (counties) and parks.
1. Provide dynamic management and monitoring services for various patent indicators within the region, including the number of invention patents owned per 10,000 people, the number of invention patents owned per 1 billion yuan of GDP, the number of long-maintenance-duration invention patents owned per 1 trillion yuan of GDP, and patent quality.
2. Timely conduct statistical analysis on the patent development status of the region, perform classified statistical analysis based on dimensions including year, subordinate regions, patent types, applicants, R&D teams, and patent agencies, and dynamically generate analysis reports.
3. Conduct real-time statistical analysis on the IP development status of core industries in the region, providing a basis for formulating relevant industrial development policies.

搜集汇总

背景与挑战

背景概述

该数据集为知识产权（专利）数据，主要用于支持知识产权管理部门进行专利指标的动态管理和统计分析。数据来源于国家知识产权局，通过大数据分析和可视化展现形式，提供多维度分析和监控预警功能。