摘要：

大数据和人工智能的结合形成了企业衍生数据财产性利益，但企业衍生数据并没有作为一种独立的数据类型获得法律保护。《个人信息保护法》从个人信息权益保护衍生到企业数据处理者的义务保护，个人信息相关数据利用制度的缺位导致现实中部分企业衍生数据的财产性利益保护不充分，企业衍生数据法律类型化有待在《个人信息保护法》的实施中予以完善。在其他保护路径都无法完全保护、无法明确其权利属性的情形下，法院不得已采取反不正当竞争法保护路径。在《个人信息保护法》施行后，更为完善的法律保护路径是将《民法典》第127条涵盖的企业衍生数据引致到《民法典》第123条的知识产权权益保护范围，同时采用知识产权方法构建企业衍生数据基本权能的内容，进而在《个人信息保护法》的实施中加以适用。

关键词:  

Abstract: The combination of big data and artificial intelligence has formed the property interest of enterprise derived data.But to date，enterprise derived data has not received legal protection as an independent type of data.The Personal Information Protection Law derives from the protection of the rights and interests of personal information to the protection of the obligations of enterprise data processors.The absence of a data utilization system related to personal information leads to the inadequate protection of the property interests of some enterprise derived data in reality.The legal typology of enterprise derived data is yet to be improved in the implementation of the Personal Information Protection Law.In the case that other protection paths are unable to fully protect and clarify its right properties，the court has no choice but to adopt the protection path of anti-unfair competition law.After the implementation of the Personal Information Protection Law，a better legal protection path is to bring the corporate derivative data covered by Article 127 of the Civil Code into the scope of protection of intellectual property rights under Article 123 of the Civil Code，and to adopt the intellectual property rights approach to construct the content of the basic rights of corporate derivative data，and then apply it in the implementation of the Personal Information Protection Law.

Key words: Enterprise-derived Data, Intellectual Property Methods, Property Interests