青少年运动健康数据共享的域外经验与本土路径

    International Best Practices and Localization Strategies for Adolescent Sports for Health Data Sharing

    • 摘要: 国外青少年运动健康数据共享经历了从数据孤岛到国际协同、从理念孕育到实践探索、从本土自用到循证决策的转变过程。运用文献资料分析、逻辑分析等方法,梳理国外青少年运动健康数据共享的演进脉络和成功经验,并基于我国情境提出本土化发展路径。研究认为,国外青少年运动健康数据共享的发展经历了基础监测与数据孤岛的初始收集阶段、机制构建与共享初探的探索发展阶段、共享标准化与全球化的成熟拓展阶段。国外青少年运动健康数据共享围绕共享时序、内容覆盖、经济属性和权限管控等方面展开,根据对初始与阶段动态共享机制、全面开放与敏感数据管理、免费开源与成本分摊模式、使用主体身份与共享边界的不同选择形成了不同的共享模式。未来可以从以下方面推进青少年运动健康数据共享:1)构建数据共享时序机制,提升数据时效性与完整性;2)建立多层次的共享框架,平衡全面开放与隐私保护;3)探索多元化经济模式,兼顾公益属性与可持续发展;4)完善分级数据管理体系,强化数据共享与应用效能。

       

      Abstract: The sharing of adolescent sports for health data internationally has evolved through three transformative phases: transitioning from data silos to cross-border collaboration, advancing from conceptual frameworks to practical implementation, and shifting from localized utilization to evidence-driven policymaking. Through literature research and logical reasoning, this study systematically reviews the developmental trajectory and successful practices of global adolescent sports for health data sharing, proposing contextualized strategies for China. Findings indicate that international efforts have progressed through distinct stages: data collection with foundational monitoring and isolated data silos, mechanism development and experimental sharing, and standardized, globally integrated sharing frameworks. These initiatives have generated diverse models shaped by variations in time series (phase-driven vs. real-time sharing), content scope (full transparency vs. sensitive data governance), economic frameworks (open-access vs. cost-sharing models), and access control (user authentication vs. boundary-defined permissions). Future advancements should prioritize: 1) Iimplementing sharing time-series protocols to optimize data currency and coherence; 2) designing tiered frameworks to reconcile open access with privacy safeguards; 3) developing hybrid funding models balancing public benefit and operational viability; 4) strengthening hierarchical data governance to strengthen sharing effectiveness and application value.

       

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