数据治理与软法

Data Governance and Soft Law

"数据治理"起源于企业对其生成和获得的数据进行提高其质量、促进其有效利用的治理。之后,"数据治理"指向基于数据应用的公共治理。政府可以利用数据提升治理水平,企业、社会组织等也可以利用数据参与公共治理。制定规则是数据治理不可或缺的一项重要任务。由于"对数据治理"和"用数据治理"的普遍存在,以及组织之间可能需要的在两个维度上的合作,完全有必要通过软法性质的规则去引导组织自身的"对数据治理",以及组织或组织之间的"用数据治理"。数据治理的普遍性、技术性、复杂性和应时性,决定了其对软法有着非常大的需求。

"Data governance"originates from the governance of the data that the company generates and obtains to improve its quality and promote its effective use.After that,"data governance"points to public governance based on data applications.Governments can use data to improve governance,and companies,social organizations,etc.can also use data to participate in public governance.Making rules is an important task that is indispensable for data governance.Because of the ubiquity of "data governance" and "using data governance" and the cooperation between organizations in two dimensions,it is absolutely necessary to guide the organization’s own "governance of data" through soft rules,and to guide organizations to "use data governance".The universality,technicality,complexity and timeliness of data governance determine that it has a very large demand for soft law.