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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。

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报告通过数据分析发现，数据产品的透明度对综合得分影响显著，尤其是与稳健系数与要素密集度指标之间均存在较为显著的相关性。不过，整体来看，目前数据产品交易市场透明度得分最低，主要原因是价格透明度得分拉低了平均水平，大部分产品没有公开具体的价格，也没有明确的计费标准，信息披露仍需要继续完善。从透明度指标细分来看，上海数据交易所得分最高。

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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在融合创新方面，通过整合来自不同渠道和不同维度的数据，帮助金融机构获得更全面、更深入的市场洞察，为金融机构提供市场情报和决策支持，推动金融产品的创新和服务模式的升级，设计出更加符合市场需求和客户需求的金融产品和服务。

例如，基于海上生蚝养殖场水pH值、水溶氧、水温、含盐度、风速、雨量等环境因子指标数据，推出了“蚝保宝”数据产品，辅助保险公司研发设计指数型保险，为养殖户提供高性价比保险服务，助力“百千万工程”高质量发展。
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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自“数据二十条”（即《中共中央 国务院关于构建数据基础制度更好发挥数据要素作用的意见》）发布后，数据要素市场机制在探索中逐步完善，各地建立的数据交易机构是引导规则、构建生态的先锋力量和关键节点，为数据要素全国统一大市场的形成奠定了坚实基础。随着市场对数据要素的认识不断深入，场内交易的数据产品不断丰富，用户需求也日益多样化，成熟的市场机制建立离不开科学客观的监测评估。

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本专区向证券公司、基金管理公司等市场参与者提供证券交易相关的技术支持，包括交易技术方面的最新通知、前端报盘程序、接口指引文档、服务联系方式等；同时提供“证券信息技术研发中心（上海）”的技术期刊等技术交流内容。

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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。

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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。

例如，在肇庆开新区开创性地推出“碳账户”数据产品，通过整合电源侧、电网侧、负荷侧、储能侧资源，动态采集碳排放总量，并全面记录企业在生产经营活动中的碳足迹，结合企业固定资产投资、企业研发经费支出、企业主要污染物排放量、企业用工人数四个维度的单位碳排放强度指标，赋予不同评分权重形成企业碳账户评价得分，辅助金融机构依据碳账户评级为企业靶向配套金融优惠政策，发放绿色金融信贷。

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要素密集度描述了数据产品中数据包的“大小”及“纯度”，是最能体现“数据产品”本义的一项指标。各数据交易机构在该项的得分较为均衡且普遍较高。不过，仍然存在一些产品不含有数据或很少含有数据，以及大批同系列产品字段拆分过于分散的情况。从要素密集度指标细分来看，上海数据交易所得分最高。

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