摘要
数据保护制度应兼顾数据红利与数据安全。在"卡-梅框架"基础上进行扩展和重构而成的"规则菜单",为数据保护制度的规则选择提供了分析框架。单一地考察无为规则、禁易规则、管制规则、财产规则、责任规则在数据保护上的适用效果,可知将数据法益配置给数据产生者,同时适用财产规则是一条相对优选的路径。整体上而言,对数据进行类型化并采用"菜单规则"的保护模式,能更有效地实现数据保护中的利益衡平。我国宜采用终端规则的组合模式进行数据保护:将数据管制规则和数据禁易规则平行设置,以数据管制规则为主,以数据禁易规则为补充;在数据管制规则之下平行设置数据财产规则与数据责任规则,以数据财产规则为主,以数据责任规则为补充。
The data protection system should take into account data dividend and data security. Get a regulation menu based on the reconstruction and extension from Cameron Framework, which provided rules of selecting protection system for the analysis framework. Solely investigated the effort for data protection in doing nothing rules, forbidden rules, regulation rules, property rules and liability rules, which tells us the legitimate interests of configuration data to the data producers and applicate property rules is a path of priority . In brief, the protection mode of classifies data and using combining rules can achieve the balance of interests more effectively. China should adopt combined terminal rules to protect data . The data regulation rules and data prohibition rules should arranged in parallel. It is mainly based on data regulation rules and partly on data forbidden rules. Data property rules and data liability rules should arranged in parallel. It is mainly based on data property rules and partly on data liability rules.
出处
《法律科学(西北政法大学学报)》
CSSCI
北大核心
2016年第6期119-127,共9页
Science of Law:Journal of Northwest University of Political Science and Law
基金
国家社科基金重点项目"云环境下数字学术资源信息安全的法律保障研究"(14AZD076)
关键词
数据保护
无为规则
禁易规则
财产规则
菜单规则
data protection
non - action rule
forbidden rule
property rule
menu rules