摘要
[目的/意义]建立健全人才流动机制是提升企业核心竞争力、助推产业转型升级、增强国家技术创新能力的重要保障,专利文献的发明者信息为人才流动研究奠定了数据基础。但原始专利数据库并未提供识别不同发明者的编码,致使追踪发明者的流动轨迹面临重大挑战。[方法/过程]基于中国知识产权局1985-2016年8月30日的发明专利申请数据,构建了发明者姓名消歧样本。通过匹配专利与文献信息的方法对发明者进行了唯一识别,并划分组织和区域两个维度探讨了发明者的流动趋势。[结果/结论]有效的数据清洗是挖掘专利数据库中流动发明者的基础,采集专利信息并匹配相应文献信息对发明者姓名进行消歧具有可行性。
[Purpose/Significance]Establishing and perfecting the talent mobility mechanism is an important guarantee for promoting enterprise’s core competitiveness, boosting industrial transformation and upgrading, and enhancing national technological innovation capability, and the inventor information in patent documents provides a data foundation for talent flow research. The original patent database, however, did not provide unique codes to identify different inventors, leading to a major challenge for tracking the inventor’s trajectory.[Method/Process]Based on the application data of invention patents from the Chinese Intellectual Property Office between 1985 and August 30, 2016, a sample of the inventors’ name disambiguation was constructed. We manually identify inventors by matching patents and document information, and then discuss the mobility trend of inventors in both organizational and regional dimensions.[Result/Conclusion]Effective data cleaning is the basis for mining the mobile inventors in the patent database. It is feasible to collect patent information and match the corresponding literature information to disambiguate the inventors’ names.
作者
朱容辉
刘树林
林军
Zhu Ronghui;Liu Shulin;Lin Jun(School of Management, Xi'an Jiaotong University, Xi'an 710049)
出处
《情报杂志》
CSSCI
北大核心
2019年第4期37-42,80,共7页
Journal of Intelligence
基金
国家社会科学基金项目"发明者流动对我国技术创新绩效的影响研究"(编号:17BGL032)研究成果之一
关键词
技术创新
专利计量
人工姓名消歧
发明者流动
technological innovation
patent statistics
manual name disambiguation
inventor mobility
