摘要
随着企业积累的大数据资产价值不断增长,为企业数据权益建立法律保护机制已成为企业法律实践中亟待解决的问题。就企业数据的保护模式而言,权利赋予和行为规制虽各有其弊,但二者之间的关系并非水火不容,而是具有潜在的互补性。应以增值处理作为企业数据初始阶段与增值阶段的判断标准,以独创性作为衍生数据的阻隔考量要素,在类型化的基础上,将“准财产权”作为非独创性衍生数据权益属性定性的选择方案,体现了此类新兴资产属性范围演化的渐进特点,而特殊数据的保护则需要结合知识产权与商业秘密的保护路径进行叠加操作。通过相对渐进的理论定位与不同权利保护路径的选择相结合,以实现权益保护的最优效果。
As the value of big data assets accumulated by firms grows,establishing a legal protection mechanism for corporate data rights has become a pivotal issue in corporate legal practice.Regarding the protection model of corporate data,while both the granting of rights and behavior regulation possess shortcomings,they are inherently complementary.The criterion for distinguishing between the initial phase and the valueadded phase of corporate data should be“value-added processing,”while“originality”should serve as the essential element when considering derivative data.Grounded in categorization,the selection of quasi-property rights for the qualitative nature of nonoriginal derivative data underscores the incremental evolution of such emerging asset attributes.The protection of unique data necessitates integrating paths from both intellectual property and trade secret safeguards.Integrating a comparatively progressive theoretical positioning with the selection of various protective rights pathways can lead to the best outcomes in safeguarding rights.
作者
杨玉英
商硕
YANG Yu-ying;SHANG Shuo(School of Humanities and Law,Inner Mongolia University of Science and Technology,Baotou 014010,China;School of Politics and Law,Northeast Normal University,Changchun 130117,China)
出处
《前沿》
2023年第6期108-122,共15页
Forward Position
关键词
企业数据
数据权益
准财产权
行为规制
分层分类
enterprise data
data rights
quasi-property rights
behavior regulation
layered classification