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专利成果转化可行性评估数据集

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江苏数据知识产权登记系统2025-01-06 更新2025-02-16 收录
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资源简介:
该数据集包含了大量与专利技术相关的评估信息,围绕专利技术的转化可行性进行评估,重点考虑专利的技术难度、创新性、市场应用、技术壁垒、产业化前景等方面。数据结构包括:案卷号:专利的唯一识别编号;专利类型:专利所属的类型;技术领域:专利技术所属的行业或学科领域;要解决的技术问题:专利技术要解决的实际问题;权利要求的核心保护点:专利的主要保护范围;专利剩余保护期限:专利剩余的有效保护时间;技术研发阶段:该专利技术当前的研发阶段;技术难度:专利技术实施和开发的难度程度;技术壁垒:专利技术实施过程中面临的技术壁垒强度;技术创新性:专利技术的创新程度;市场应用:专利技术的市场应用场景;市场增长趋势:专利相关技术的市场发展趋势;产业化前景:专利技术的产业化潜力;专利转化等级:专利成果转化评估等级。

This dataset contains a large volume of assessment information focused on evaluating the commercialization feasibility of patent technologies, with key considerations covering technical difficulty, innovativeness, market application, technical barriers, and industrialization prospects of the patents. The dataset structure includes: File Number: unique identification number of the patent; Patent Type: the category to which the patent belongs; Technical Field: the industry or academic discipline that the patent technology belongs to; Technical Problem to Be Solved: the practical problem addressed by the patent technology; Core Protection Points of the Claims: the main protection scope of the patent; Remaining Valid Protection Term of the Patent: the remaining valid protection duration of the patent; Technical R&D Stage: the current research and development phase of the patent technology; Technical Difficulty: the degree of difficulty in implementing and developing the patent technology; Technical Barriers: the strength of technical barriers encountered during the implementation of the patent technology; Technical Innovativeness: the degree of innovation of the patent technology; Market Application Scenarios: the market application scenarios of the patent technology; Market Growth Trend: the market development trend of technologies related to the patent; Industrialization Prospect: the industrialization potential of the patent technology; Patent Commercialization Grade: the evaluation grade of patent achievement commercialization.
提供机构:
中数数据资产评估(徐州)有限公司
搜集汇总
数据集介绍
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特点
该数据集名为'专利成果转化可行性评估数据集',主要包含与专利技术相关的评估信息,重点评估专利的技术难度、创新性、市场应用等方面。数据集适用于企业技术创新管理、科研机构技术成果转化及政府科技政策制定等多个场景,数据格式为excel。
以上内容由遇见数据集搜集并总结生成
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