中文体育类核心期刊

中国人文社会科学期刊AMI综合评价(A刊)核心期刊

《中文社会科学引文索引》(CSSCI)来源期刊

美国《剑桥科学文摘》(CSA)收录期刊

中国高校百佳科技期刊

体育数据的分类分级保护:概念、问题与路径

Classification and Grading Protection of Sports Data: Concepts, Issues, and Pathway

  • 摘要: 体育数据的分类分级保护能够在体育数据极具包容性和繁杂性的概念特点下提升体育数字经济效率、促进体育训练的精准化驱动、推动体育数据最大化流通、精准化保障不同类型的体育数据。基于不同生成主体的划分标准,体育数据主要可以分为运动员数据、公民运动数据、体育企业数据和体育公共数据四大类型。体育数据保护现状主要呈现混杂性特点,导致公民一般运动数据和敏感运动数据的交叉性,以及运动员、公民和公共体育的数据财产权概括化、一体化界定等危害后果。体育数据分类分级保护可以围绕公共利益权衡、敏感内容程度、新型数据财产权等分类标准,并基于一般性和特殊性体育场景关联的重大人身、财产安全危害和风险等分级标准,进行精确化路径构建。

     

    Abstract: The classification and grading protection of sports data, characteristic of inclusive and complex, helps accelerate sports digital economy, improve precise sports training, advance its maximum circulation and better guarantee diverse sports data. Based on the classification criteria of different generating entities, sports data primarily falls into four categories: athlete data, citizen sports data, sports enterprise data, and public sports data. The current state of sports data protection shows a mixed nature, leading to the intersection of general and sensitive sports data for citizens, as well as the amalgamation of data property rights for athletes, citizens, and public sports. Sports data classification and grading protection criteria can be guided by public interest trade-offs, levels of sensitive content, and emerging data property rights. Furthermore, an accurate approach can be achieved around grading standards that consider significant personal and property safety risks associated with general and specific sports scenarios.

     

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