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然而，基础制度建设的滞后性日益凸显——数据确权机制尚未贯通，导致机构数据“不愿供”；数据流通交易规则仍以各地分散探索为主，市场定价与安全互信机制仍待完善，数据产品“流不动”的困局持续存在。以上种种因素，严重削弱了金融机构在风险定价、精准营销和产品创新等方面发挥数据要素驱动作用，也阻碍了金融资源配置效率和数字化风控水平的提升。
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“越是回归数据要素价值本义的产品，对包括价格在内的信息披露态度会越开放，也更容易寻找到可落地的应用场景和市场空间。”报告建议，应构建市场驱动的透明生态，建立统一规范的基本信息披露标准；引导数据产品开发者树立正确的产品开发思维，提升数据产品的实用性和市场适应性。
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。
报告建议，数据产品交易市场需要构建市场驱动的透明生态，建立统一规范的基本信息披露标准。各指标之间的相关性表明，在公开交易平台上，越是回归数据要素价值本义的产品，对包括价格在内的信息披露态度会越开放，也更容易寻找到可落地的应用场景和市场空间。在数据交易机构的进场监管下，数据产品均已经过严格的合规审核，进一步规范信息披露机制，有助于与潜在需方达成有效沟通，推动形成“越透明越增值”的正向循环。
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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。
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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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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“越是回归数据要素价值本义的产品，对包括价格在内的信息披露态度会越开放，也更容易寻找到可落地的应用场景和市场空间。”报告建议，应构建市场驱动的透明生态，建立统一规范的基本信息披露标准；引导数据产品开发者树立正确的产品开发思维，提升数据产品的实用性和市场适应性。
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深化数据要素市场化配置改革、构建以数据为关键要素的数字经济，发展数据产业是重要举措。去年底，国家发展改革委等部门《关于促进数据产业高质量发展的指导意见》明确指出，数据产业是利用现代信息技术对数据资源进行产品或服务开发，并推动其流通应用所形成的新兴产业，包括数据采集汇聚、计算存储、流通交易、开发利用、安全治理和数据基础设施建设等。贵州做强做优数字经济，促进数据产业高质量发展是题中应有之义。
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目前，广州数据交易所已按照数据资源化、产品化、资产化、资本化的完整链路构建起一套涵盖企业数据资产管理各阶段的实施路径。沈海介绍，首先要引导企业经由数据治理、资源盘点与质量管理，达成数据资源化；继而通过数据合规管理、产权登记及应用场景开发，实现数据产品化；随后借助数据交易与资产入表，完成数据资产化；最终以数据资产投融资等手段，推动数据资本化。他认为，通过产权登记明确数据权属关系，既可增强数据交易可信度，使金融机构在获取和使用数据时更加确信数据的来源和合法性，避免权属纠纷，降低法律风险，也可获得数据产权登记证书，作为企业融资增信的依据，拓宽企业融资渠道，促进数据要素市场的繁荣。
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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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