数据的领域性法益:范畴、类型与功能观念
Domain Legal Interests in Data:Scope,Type and Function Concepts
赵桐1
作者信息
摘要
刑法理论中对数据法益的分歧根源于数据自身的领域性.应当以数据为独立研究对象,结合全领域来源,分析数据法益的范畴与类型.数据领域性法益的基本法根据是宪法中对数字人权的保障,具体来源有赖于民法的权利原理,以及经济法的运行规则.数据法益的范畴应限于指向型数据犯罪,进一步可区分为数据信息法益、数据财产法益、数据安宁法益.在领域性法益研究视野下,刑法一方面要坚持自身的基本原则,另一方面在功能观念上应由个体保护型转向自由与秩序平衡型.
Abstract
Disagreements over data legal interests in criminal law theory are rooted in the domain of data itself.The scope and types of data legal interests should be analysed by taking data as an independent object of study and combining them with domain-wide sources.The fundamental law of domain legal interests in data is based on constitutional guarantees of digital human rights,with specific sources relying on the principle of rights in civil law,as well as on the operating rules of economic law.The scope of data legal interests should be limited to targeted data offences,which can be further differentiated into data information legal interests,data property legal interests,and data tranquillity legal interests.In the field of domain legal interests research,criminal law should,on the one hand,adhere to its own basic principles,and,on the other hand,shift its functional concepts from individual protection to a balance between freedom and order.
关键词
数据犯罪/数据法益/数据类型Key words
Data Crime/Data Legal Interests/Data Type引用本文复制引用
基金项目
2021年度国家社科基金重大项目(21&ZD209)
2023年度国家资助博士后研究人员计划(GZC20233127)
出版年
2024
NETL
NSTL
万方数据