科技快速发展引发数据“井喷式”增长，数据要素的价值性也愈加受到重视，对数据进行分类分级授权已成为亟待解决的问题。企业数据具备财产属性与赋权合理性，可采取数据使用权与有限排他权二元权利结构。在应对数据分类保护问题上，可对数据结构进行拆分，将数据符号层与内容层进行分类保护，解决企业数据与个人信息协同分类保护难题，并针对不同级别的数据集合开展差异化的权属配置，以达成数据分级的根本目的。为解决数据集合分级问题，可在数据结构分层的基础之上，以数据内容层信息为基准，采取“模块分类+动态因素衡量”的方式，以有利于数据流通原则、禁止混同原则、比例原则为导向，对数据集合进行准确有效的分级管理，将分级结果直接与数据权利行使相关联，通过对权利范围进行限缩，实现数据流通、共享共治的效果。
The rapid development of technology has led to an explosion of data，and the value of data elements has become more and more important，and the classification and classification of data authorization has become an urgent research problem. Enterprise data has property attributes and is reasonably empowered，and a dual right structure of data use rights and limited exclusive rights can be adopted. In dealing with the problem of data classification and protection，the data structure can be split，and the data symbolic layer and content layer can be classified and protected，so as to solve the problem of protecting enterprise data and personal information together. In addition，different rights can be allocated to different levels of data collections in order to achieve the fundamental purpose of data classification. In order to solve the problem of data collection classification，on the basis of data structure classification，the data content layer information can be used as a benchmark，and the “module classification + dynamic factor measurement” approach can be adopted，guided by the principle of facilitating data circulation，the principle of prohibiting confusion，and the principle of proportion，to accurately and effectively classify and manage data collections，and directly link the classification results to the exercise of data rights. The result of the classification is directly related to the exercise of data rights，and the effect of data circulation and sharing is achieved by limiting the scope of rights.
| Keywords： | Enterprise DataHierarchical AuthorizationData Use RightsData Limited Exclusive RightsDifferentiated Allocation |
