数据财产权益的归属判定
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D923

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国家社会科学基金重大项目"互联网经济的法治保障研究"(18ZDA149)


The belonging of data property right and interest
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    摘要:

    现代信息技术推动社会数字化转型的过程中,明晰的数据权属是数据经济健康发展的逻辑前提,也是构建数据财产权益法律制度的首要环节,但是我国现行立法未对其作出明确规定,现有学说亦未形成理论共识。数据权属分为两个层次:一为人格权益归属;二为财产权益归属。个人数据保护立法的具体规范和人格权的一般理论表明:在划分个人数据与非个人数据的场合下,(个人)数据的人格权益归属于个人数据所关联的已识别或可识别的自然人。数据的财产权益归属作为当前争议焦点尚无定论,既与数据权属的研究角度不同有关,更与缺乏有力的数据权属分配标准有关。解决该难题的关键在于全面考察财产权益分配的理论基础与实践线索,从理论依据、法制标准和裁判立场三个维度辨析数据权属的配置标准。具体而言,判定数据财产权益归属,在理论依据维度上:需从法哲学层面考量并入理论、投射理论、劳动理论和公约理论的可适用性,明确何者对数据投入了劳动和资本、归属于何者较能满足社会共识;从法人类学层面梳理财产权益分配的社会历史脉络,明确何者需要保障其数据生产积极性以增进社会整体生产力;从法经济学层面分析财产权益分配的经济考量因素,明确何者对出产数据具有激励必要且能有效率利用数据。在法制标准维度上:需从关于物、智力成果、商业秘密和数据库等多种客体的既有法律规范,提炼财产权益分配的立法精神,明确何种数据权属配置更加契合立法的内在规律。在裁判立场维度上:需从域内外典型案例的裁判结果和裁判理由,总结司法机关对数据权属的基本见解,明确何种归属可得映照司法者对数据财产权益归属的实务处断。尽管三个维度视角各异,但经分析验证,三者在不同程度上蕴含一项共性原则——"播种者收获",均倾向于将数据财产权益分配给合法收集处理数据的主体,该主体可称为合法的数据控制者,即决定数据处理目的与方式之人,实践中包括但不限于运营互联网、物联网和智能制造的企业。

    Abstract:

    During the process of digital transformation promoted by modern information technology, a clear belonging of data right is the logical precondition of data economy’s healthy development, and it’s also the primary part of constructing the legal system of data property right and interest. However, China hasn’t enacted clear provision of it, and the existing theories haven’t formed consensus. The belonging of data right contains two aspects, the first one is the belonging of personality right and interest, and the second one is the belonging of property right and interest. The legislation of personal data protection and the general theory of personality right reveal that, when distinguishing personal data from non-personal data, the personality right and interest of data belong to the natural persons who are recognized or recognizable. The belonging of data property right and interest is the focus of research disputes, but it doesn’t have conclusion. Because different researchers have different points of view, and they lack convictive standards of the belonging of data right. Therefore, the key to solve the problem is researching systematically the theory basis and practice clue of allocation of property right and interest, analyzing the allocation standards of the belonging of data right from three dimensions: theoretical basis, legal standard and judicial standpoint. On the dimension of theoretical basis: we should consider the applicability of incorporation theory, projection theory, labor theory and convention theory from the philosophy of law, to figure out who invest labor and money on the data, and which belonging could meet social consensus; comb the social history context of property right allocation from the anthropology of law, to figure out who need the safeguard to promote production enthusiasm and social productivity; analyze the economic factors of property right allocation from the economics of law, to figure out who have incentive necessity and who can utilize data efficiently. On the dimension of legal standard: we should extract legislation spirit of property right allocation from the legal norm of property, intellectual property, trade secret and database, to figure out which allocation of data property right could conform to the inherent regularity of legislation. On the dimension of judicial standpoint: we should summarize the basic opinions of the judicial authority from judgement results and reasons at home and abroad, to figure out which allocation of data property right is in line with the practice of judicial authority. After analysis and verification, although the above three dimensions have different angles of view, they contain a common principle which called "the sower is the reaper" in different extent, and they tend to allocate the property right and interest of data to the subject who collects and processes the data lawfully. The subject can be called legal data controller, who determines the purposes and means of the processing of data. In practice, the data controller contains internet companies, IoT companies and artificial manufacture companies, and so on.

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杨翱宇.数据财产权益的归属判定[J].重庆大学学报社会科学版,2023,(1):241-254. DOI:10.11835/j. issn.1008-5831. fx.2020.03.010

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  • 在线发布日期: 2023-02-28
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