美国专利局诉讼中的科学引用数据集
Kyle Higham1, Hannah Kotula1, Emma Scharfmann2
1Motu Economic and Public Policy Research, Wellington, 6011, New Zealand.
Scientific data
|January 31, 2026
概括
美国专利和商标局 (USPTO) 办公室行动的85万项专利引用的新数据集现在已经可用. 这些数据提供了对专利审查过程和科学技术联系的见解.
科学领域:
- 图书统计学 图书统计学
- 专利法 专利法 专利法 专利法
- 信息科学 信息科学 信息科学
背景情况:
- 专利审查依赖于引用数据,但审查员引用的参考文献在历史上未得到充分利用.
- 可访问性挑战限制了在Office Actions中发现的引用的使用.
- 传统的专利分析往往忽略了审查过程中的细节.
研究的目的:
- 创建一个从USPTO办公室行动中引用的全面,可访问的数据集.
- 通过分析审查员引用行为和科学技术联系,实现新的研究途径.
- 促进基于引用的新型指标的开发.
主要方法:
- 从USPTO办公室行动中提取了大约85万个引文.
- 将所有引文分为14个不同的类别.
- 应用机器学习和外部文献服务来解析,清理和明确265,000个科学文献参考文献.
- 将明确记录链接到OpenAlex研究元数据平台.
主要成果:
- 已经建立了一个精心策划的数据集,包括来自专利局诉讼的85万个引用.
- 处理,清理和明确了超过265,000个科学文献的参考文献.
- 数据集与OpenAlex联系在一起,增强数据的可重复使用性和集成性.
- 这些数据提供了对专利审查过程的详细视图.
结论:
- 新获得的数据集为专利分析和科学技术研究提供了新的研究机会.
- 对数据和代码的开放访问促进了跨学科的再利用和创新.
- 此资源补充了现有的专利引用数据,包括审查员选择的引用.
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