大数据与知识产权融合的理论逻辑与实践路径

Research on the Theoretical Logic and Practical Path of Big Data and Intellectual Property Integration

在从工业社会向信息社会演变过程中,大数据技术使专利数据采集更加全面、分析更加高效、挖掘更加精准、可视化更加直观。知识产权制度体系可以为数据要素生产、汇聚、流转和治理提供全链条保护。从理论上剖析大数据与知识产权融合的逻辑关系,探讨二者融合发展的必要性与可行性;根据国内外立法和司法实践,指出目前融合发展存在的三大瓶颈,即数据产权界定模糊、数据知识产权保护乏力与数据要素安全监管不易。针对存在的问题,提出了大数据与知识产权融合发展的三条实践路径:坚持数据发展与规范并重、推动大数据保护制度建设与加强数据安全平台治理。

In the process of evolution from industrial society to information society,big data technology makes patent data collection more comprehensive,analysis more efficient,mining more accurate,and visualization more intuitive.The intellectual property system can provide full chain protection for the production,convergence,circulation and governance of data elements.This paper theoretically analyzes the logical relationship between big data and intellectual property integration,and discusses the necessity and feasibility of their integration and development;At the same time,according to domestic and foreign legislation and judicial practice,it points out that there are three bottlenecks in the current integration development:vague definition of data property rights,weak protection of data intellectual property rights,and difficult security supervision of data elements;Finally,in view of the existing problems,three practical paths for the integrated development of big data and intellectual property are proposed:adhere to the equal emphasis on data development and standardization,promoting the construction of big data protection system and strengthening data security and platform governance.