知识产权数据风险与治理路径研究

Research on Intellectual Property Data Risk and its Governance Methods

数字经济背景下,知识产权数据的重要价值日益凸显。在挖掘利用知识产权数据信息的同时,应当注意相关信息安全风险的防范,采取有效的风险应对措施。知识产权数据涉及公共数据以及企业数据两大范畴,具备法律属性与经济属性。互联网环境下,知识产权数据面临的风险涉及信息安全、信息出境以及政府治理等环节。应对上述风险,需要对知识产权数据进行有效的分类分级管理,并在此基础之上,从理念、制度、技术等多个维度出发,构建合理的风险防范应对机制,探索有效的知识产权数据治理路径。

In the context of digital economy,the important value of intellectual property data has become increasingly prominent.While mining and utilizing intellectual property data information,we should pay attention to the prevention of relevant information security risks and take effective risk countermeasures.Intellectual property data involves public data and enterprise data,with legal and economic attributes.In the Internet environment,the risks faced by intellectual property data include the risks of information security,exit and government governance.To address the aforementioned risks,it is necessary to effectively classify and classify intellectual property data,and based on this,construct a reasonable risk prevention and response mechanism from multiple dimensions such as ideology,system,and technology,and explore effective paths for intellectual property data governance.