木质玩具专利评价数据
收藏资源简介：
通过收集木质玩具领域专利申请人、法律状态、技术主题分类、简单同族成员数量等数据，形成了主要包括全球专利数据库中与木质玩具相关的发明专利和实用新型专利数据，在结果中筛选关键词木质玩具，找出木质玩具方向专利数据，并根据自有算法对专利数据进行了评价和分类，可用于了解木质玩具专利数据变化情况，有助于了解木质玩具知识产权工作成果；通过对各企业/个人木质玩具专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解木质玩具的技术发展趋势，有助于企业避免重复研发，避免企业开发的技术侵犯他人的知识产权。数据基于AHP层次法，采用定量与定性相结合，从专利价值度法出发，指标层将专利价值指标体系分为技术、法律、经济3项一级指标，一级指标层向下为二级指标，包括技术价值指标：独立权利要求数量、权利要求数量、首项权利要求字数、专利寿命（即专利已经维持有效的天数）、同族专利数、引证其它专利数、被其他专利引证数、发明人数量、IPC数量；法律价值指标：专利类型、说明书页数、诉讼次数；经济价值指标：转让次数、许可次数、质押次数；根据一级、二级指标建立3个维度的矩阵，通过专利接口数据获取专利评价对应的数据指标，采用1-9分标度法（最低为1分，最高为9分），求得相应的指标权重，用权重技术各个指标的分值，所有指标分值的和即为专利得分，根据分值的区间段对专利进行划分，80-100为高价值专利、60-80为重要专利、60分以下为一般专利，为木质玩具行业企业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 dataset is constructed by collecting data including patent applicants, legal statuses, technical subject classifications, and the number of simple patent family members in the wooden toy field. It primarily covers invention patents and utility model patents related to wooden toys from the global patent database. First, the keyword "wooden toy" is used to screen out patent data focused on the wooden toy domain, then proprietary algorithms are applied to evaluate and classify these patent data. This dataset can be used to track changes in wooden toy-related patent data, facilitating an understanding of the achievements of intellectual property (IP) work in the wooden toy industry. By comparing the wooden toy patent data of different enterprises and individuals, it enables analysis of the technological innovation capabilities and differences in innovation levels among various entities. Additionally, grasping the technological development trends of wooden toys helps enterprises avoid redundant R&D and prevent their developed technologies from infringing on others' intellectual property rights. Based on the Analytic Hierarchy Process (AHP), this dataset combines quantitative and qualitative analysis, starting from the patent valuation methodology. The patent value indicator system is divided into three first-level indicators: technological, legal, and economic value. Corresponding second-level indicators are set under each first-level indicator: 1. Technological value indicators: number of independent claims, total number of claims, word count of the first independent claim, patent lifespan (i.e., the number of days the patent has remained valid), number of patent family members, number of cited patents, number of times cited by other patents, number of inventors, and number of International Patent Classification (IPC) classifications; 2. Legal value indicators: patent type, number of pages in the specification, number of litigation cases; 3. Economic value indicators: number of transfer transactions, number of licensing transactions, and number of pledge transactions. A three-dimensional matrix is established based on the first and second-level indicators. Corresponding data indicators for patent evaluation are obtained through patent interface data. The 1-9 scaling method (with 1 as the lowest score and 9 as the highest score) is adopted to calculate the weight of each indicator, which is then used to compute the scores of individual indicators. The sum of all indicator scores constitutes the total patent score. Patents are categorized based on their total score intervals: patents with scores of 80-100 are classified as high-value patents, 60-80 as important patents, and scores below 60 as general patents. This dataset provides technical references and guidance for R&D personnel in wooden toy industry enterprises, and offers support for corporate R&D decision-making.
