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报告根据国家数据局对于“数据产品”概念的解释，结合数据要素属性和交易特性，通过两级指标进一步细化了评估维度。
在数据价值挖掘方面，通过与金融机构合作，挖掘数据在金融领域的应用场景和价值，并运用数字技术将原始数据转化为有价值的产品和服务，提供风险评估、客户画像、市场预测等创新点，满足金融机构需求。
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。
“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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《报告》研究发现，政策因素仍是当前推动各数据交易机构快速发展的关键因素，侧面反映出数据要素市场供需两端未能有效衔接、金融市场尚未做足准备迎接数据时代、数据交易市场机制仍在摸索过河等问题。上述问题将促使我国新一步实现供需双方匹配衔接，不断完善、创新、优化交易机制流程，构建规范化、标准化、透明化的数据要素生态体系，推动我国数字经济持续发展。
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同时，广州数据交易所贯彻落实《行动计划》提出的“以推进数据要素协同优化、复用增效、融合创新作用发挥为重点”的指导思想，通过构建全链条服务体系，着力促进金融领域释放数据乘数效应。
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贵数所对上架产品的信息披露更为公开透明。据贵数所公开的产品类型信息，数据产品、算法模型、算力基础设施三类产品占比较多，也从侧面反映出贵数所将贵州本地的算力产业优势与数据交易市场进行了有效衔接。
“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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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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