张宇, 吴丽渊. 论企业数据权属界定机制的优化[J]. 《信阳师范学院学报(哲学社会科学版)》, 2023, 43(4): 35-41. DOI: 10.3969/j.issn.1003-0964.2023.04.006
引用本文: 张宇, 吴丽渊. 论企业数据权属界定机制的优化[J]. 《信阳师范学院学报(哲学社会科学版)》, 2023, 43(4): 35-41. DOI: 10.3969/j.issn.1003-0964.2023.04.006
ZHANG Yu, WU Liyuan. On the Optimization of Mechanisms for Defining the Ownership of Enterprise Data[J]. The journal of xinyang normal university (philosophy and social science edition), 2023, 43(4): 35-41. DOI: 10.3969/j.issn.1003-0964.2023.04.006
Citation: ZHANG Yu, WU Liyuan. On the Optimization of Mechanisms for Defining the Ownership of Enterprise Data[J]. The journal of xinyang normal university (philosophy and social science edition), 2023, 43(4): 35-41. DOI: 10.3969/j.issn.1003-0964.2023.04.006

论企业数据权属界定机制的优化

On the Optimization of Mechanisms for Defining the Ownership of Enterprise Data

  • 摘要: 准确界定企业数据权属是促进数据资源共享的重要前提,对于企业数据权属的界定,存在理论供给不足、法治保障体系不健全以及各方利益平衡困难等现实问题,原因主要在于企业数据的要素复杂且权属界定标准难以固化。有鉴于此,有必要引进新型财产权理论,赋予企业数据明确的权利客体地位。企业数据的核心价值在于“算法技术”,以是否经算法技术加工为标准,可将企业数据分为原始数据与衍生数据。对于原始数据,产生数据的个人享有所有权,企业具有使用权与收益权;对于衍生数据,可确认企业对于数据享有所有权,但在权利内容、权能配置上予以必要限制。同时不容忽视的是,应不断优化数据赋权与数据共享的关系,以期构建“共建共治共享”的企业数据权属界定机制。

     

    Abstract: Accurately defining the ownership of enterprise data is an important prerequisite for promoting the sharing of data resources. At present, because of the fact that the elements of enterprise data are complex and it is difficult to solidify the definition standards for the ownership of enterprise data, there are still many practical problems in the definition of the ownership of enterprise data, such as insufficient theoretical supply, inadequate legal protection system, and difficulties in balancing the interests of all parties.In view of this, a new theory of property rights can be introduced in the scope of civil law rights to give enterprise data a clear status of a right object. The core value of enterprise data lies in “algorithmic technology”, and the enterprise data can be divided into raw data and derivative data based on whether it has been processed by algorithmic technology. For raw data, the individual who generates the data enjoys the ownership, and the enterprise has the right to use and benefit from it; while for the latter, it can be confirmed that the enterprise enjoys the ownership, but necessary restrictions are placed on the content and the configuration of the rights. At the same time, it should not be overlooked that the relationship between data empowerment and data sharing should be continuously optimized, with a view to building a “co-construction, co-management and sharing”mechanism for defining the ownership of enterprise data.

     

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