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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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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随着数据资产质押融资的不断发展和完善，将会推动更多企业加强数据资产的管理和运营，这有助于形成更加活跃、高效的数据要素市场，为金融服务创新提供更多的数据资源和动力。
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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不合规不挂牌，无场景不交易 围绕挂牌、交易、交付、清算、完结的数据交易全生命周期，聚集产业链各环节服务资源，为数据产品供需双方提供一个线上可交易、可交付、可追溯的数据交易智能系统，实现从交易前、交易中、交易后的全流程闭环服务。
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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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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作为国家数据要素综合试验区之一，算力优势必须切实转化为产业优势，这也是贵州发展新兴数据产业的必然要求。目前，贵州正在探索符合区域特点的数据价值释放路径，通过“数据要素×”等方式进一步激发经营主体活力，培育了贵阳大数据交易所、数据宝、迦太利华、梦动科技等数据企业，希望壮大数据要素市场，“打造释放数据价值的标志性成果”，为西部地区推进数据要素市场化配置改革提供经验借鉴。
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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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