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其次是稳健系数指标的整体得分也较低，得分差异的主要原因在于数据授权机制变化带来潜在合规风险，数据来源披露不充分，以及使用规范缺乏明确界定。从稳健系数指标细分来看，北京国际大数据交易所得分最高。
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分地区来看，各大数据交易机构的金融场景数据产品分别有哪些特征？《报告》统计分析发现，北数所注重数据来源的授权使用；上数所聚焦金融产品应用场景；广数所聚焦数据技术的应用；深数所致力于构建多元场景生态矩阵；贵数所聚焦提供多样化数据服务。
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激发数据潜力，桥接金融动力 按照“规范、透明、公开”以及“真实可信、合规可控、记录可溯、创新可拓”的原则，围绕打造登记、估值、挂牌、披露四项核心功能，探索数据资产交易市场建设，促进数据要素市场与金融要素市场联动发展。
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此外，数据交易机构可以引导数据产品开发者强化“数据价值”意识，提升数据产品的实用性和市场适应性。在各数据交易机构的积极运营下，越来越多的开发者对数据价值的洞察力和应用能力正不断提升。可以进一步建立指标协同提升机制，引导开发者不再孤立追求单一指标优化，而是通过提升数据价值密度（要素密集度）倒逼透明度与稳健性的系统性改进，将数据更深度地融入产品开发中。
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在复用增效方面，促进金融机构之间数据的互联互通，促进数据的复用和共享，形成风险管理、客户服务等方面的协同效应，降低金融机构的信息获取成本，提高数据使用的效率和准确性，进而提升整体服务水平。
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报告显示，数据产品交易市场的透明度有待提高，信息披露仍需要继续完善，尤其在价格方面，大部分产品没有公开具体的价格，也没有明确的计费标准；数据使用规范性仍需加强，市场活跃度有待提升。此外，各交易机构对数据产品的理解把握和引导作用显著，产品中“数据”的浓度普遍较高，但同时也存在部分数据产品存在过于追求上架产品数量、将完整产品拆分成多个子产品的情况。
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为破解数据确权与流通的制度性瓶颈，亟需从机制设计层面探索创新路径。在此背景下，推进产权登记实践已成为探索数据确权、建立数据交易、权益分配和治理机制的重要突破口之一。当前，各地先后开展数据产权地方试点工作，为数字经济发展注入新活力，而广州数据交易所作为广东省数据产权登记试点工作首批试点登记机构，通过构建“评估—登记—入表—流通”的数据资产化全链条服务体系，为破解制度性瓶颈提供了实践样本，也为全国范围内数据基础制度建设积累了宝贵经验。
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