| 摘要: |
| 数据持有权可以支撑数据流通秩序的构建，但数据流通是数据分享利用的合作关系，而非产权交易关系，因而需要探寻与流通范式相一致的数据流通体制和机制。经过治理的数据可以流通，但缺失传统市场体制的制度要素，加上数据本身存在风险和远程交易，因此数据流通必须具有可信体制和机制。可信的数据流通包括流通关系可信、流通的数据可信、流通主体可信和过程可信，而这些都需要相应流通设施予以实现和运营。数据流通设施是以数据治理为核心的技术、制度和组织构成的体系，是数据社会化重用秩序的塑造者，是数据基础设施重要组成部分。数据流通基础设施应被定位为未来社会基础设施；应建立统一的可信数据流通制度框架和规则，指引各类数据流通设施的建设和运营。 |
| 关键词: 数据持有者权 可信数据流通 数据流通制度 数据流通基础设施 数据重用 |
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| On the System of Trusted Data Sharing—The Formation of Governance Paradigm of Economic Order |
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Gao Fuping
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| Abstract: |
| The data holder’s right can support the construction of a data circulation order, but data circulation is a cooperative relationship of data sharing and utilization, rather than a title assignment transaction relationship. Therefore, it is necessary to explore a trusted data reuse system and mechanism that is consistent with this transactional paradigm. Curated data can be shared, but there must have a trustworthy system and mechanism due to the lack of the institutional elements of traditional market systems and the inherent risks and remote transactions of data. Elements of trusted data sharing include the trustworthiness of the data sharing relationships, the sharable data, the participants and of the processes, all of which require a suitable data sharing infrastructure to implement and operate. The infrastructure is a system composed of technology, institutions, and organizations centered on data governance. They are the shapers of the socialized reuse order of data and an important part of the data infrastructure. We should position the data circulation infrastructure in the future social infrastructure, establish a unified and trustworthy data sharing institutional framework and rules, and guide the construction and operation of various data sharing organizations. This article explains the data usage (right) transaction system supported by data holder’s rights and preliminarily proposes the governance paradigm of data economy theory. |
| Key words: Data Holders’Right, Trusted Data Sharing, Data Sharing System, Data Sharing Infrastructure, Data Reuse |
