【摘要】 本研究采用理论阐释和案例分析方法，考察开放数据竞赛推广生态的重要变化，并据此对开放数据竞赛推广策略进行适应性优化，且以“慧源共享”全国高校开放数据创新研究大赛为例进行推广策略的应用分析。研究表明，开放数据竞赛推广生态的变化主要体现在同类竞争显著化、参与主体多元化、传播媒介融合化、参赛需求综合化、活动过程持久化、开放数据异质化和组织模式扁平化等方面；而相应推广策略的适应性优化调整方向则主要包括亮点式推广、融媒体推广、品牌化推广、波浪式推广、增值式推广、协同式推广和规范化推广，这些优化推广策略均在案例中得到了有效验证。更多还原

【Abstract】 Using theoretical analysis and case study methods, this paper examines significant changes in the promotional ecology of open data competitions and proposes adaptive optimizations to their promotion strategies. Taking the Huiyuan Sharing National Open Data Innovation Competition for Colleges and Universities as an example, it analyzes the application of these strategies in practice. The paper finds that changes in the promotional ecology are mainly reflected in intensified category competition, diversified participant profiles, integrated communication media, comprehensive participant demands, sustained event processes, heterogeneous open data sources, and flatter organizational structures.Correspondingly, adaptive optimizations of promotion strategies focus on highlight-based promotion, integrated media campaigns, brand building, wave-like phased promotion, value-added approaches, collaborative promotion, and standardized promotion. The case study demonstrates the practical application and effectiveness of these optimized strategies.更多还原