噁拉戈利全球专利价值判定数据

数据包中主要包括了全球专利数据库中有关噁拉戈利产品的发明专利和实用新型专利数据，根据自有算法对专利数据进行评价打分和分类，判定专利价值。结合数据包中各维度数据的比较，有助于了解噁拉戈利产品的专利申请情况，避免企业重复研发以及侵犯他人的知识产权；也有助于决策者对将用于出资、转让、许可、融资的专利作出合理判断。1.数据采集：通过第三方知识产权检索网站，对噁拉戈利产品的发明专利和实用新型专利进行采集。2.数据处理：对采集到的原始数据进行处理，通过去除重复和有缺失的数据，对数据进行清理分类。3.数据计算：基于熵权法和层次分析法，采用定量和定性相结合，从专利价值度出发，目标层为专利价值度，指标层分为法律价值度、技术价值度和经济价值度三项一级指标，一级指标向下分为二级指标，包括法律价值度指标：专利授权周期、专利维持时间、简单同族专利申请数量、引用专利数量、非专利引用文献数量、简单法律状态、诉讼案件数；技术价值度指标：权利要求数、发明人数量、被引用专利数量、IPC分类数量、专利类型、获奖类型；经济价值度指标：剩余年数、当前申请人数量、许可次数、质押次数、战略新兴产业分类；根据一级和二级指标建立三个维度的矩阵和专利评价准则，由熵权法求得的权重用于各个价值的计算，三个维度单项价值均等，三类价值之和即为专利价值度得分，利用IF函数对专利价值进行判定，大于10分为高价值专利，6-10分为重要专利，6分以下为一般专利，为本领域研发人员提供技术参考及指引，为公司提供研发决策指导。

This data package primarily contains invention patent and utility model patent data related to elagolix products sourced from the global patent database. We evaluate, score and classify the patent data using a self-developed algorithm to determine patent value. By comparing the multi-dimensional data in the package, it helps enterprises understand the patent filing status of elagolix products, avoid redundant R&D and intellectual property infringement; it also assists decision-makers in making reasonable judgments on patents intended for capital contribution, transfer, licensing, or financing.
1. Data Collection: Invention patents and utility model patents for elagolix products are collected via third-party intellectual property retrieval websites.
2. Data Processing: The collected raw data is processed by removing duplicate records and data with missing values, followed by data cleaning and classification.
3. Data Calculation: Based on the entropy weight method and analytic hierarchy process (AHP), combining quantitative and qualitative analysis methods, starting from the perspective of patent value. The target layer is patent value, and the indicator layer is divided into three first-level indicators: legal value, technical value and economic value. The first-level indicators are further subdivided into second-level indicators as follows:
Legal value indicators: patent authorization cycle, patent maintenance duration, number of simple patent family applications, number of cited patents, number of non-patent cited references, simple legal status, number of litigation cases;
Technical value indicators: number of claims, number of inventors, number of patent citations received, number of IPC classifications, patent type, award type;
Economic value indicators: remaining patent term, number of current applicants, number of licensing transactions, number of pledge transactions, strategic emerging industry classification;
Three-dimensional matrices and patent evaluation criteria are established based on the first-level and second-level indicators. The weights calculated by the entropy weight method are used for the computation of each value dimension. The three single-dimensional values are equally weighted, and the sum of the three types of values constitutes the final patent value score. The IF function is employed to determine patent value tiers: patents with a score greater than 10 are classified as high-value patents, those with a score of 6-10 are important patents, and those with a score below 6 are general patents. This dataset provides technical references and guidance for R&D personnel in the relevant field, and offers decision-making support for corporate R&D strategies.

搜集汇总

数据集介绍

特点

该数据集包含135条噁拉戈利产品的全球专利数据，通过熵权法和层次分析法对专利价值进行评价和分类，适用于企业研发决策和知识产权管理。