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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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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。
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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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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。
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。
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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广州数据交易所：构建数据交易全链条服务体系 助推金融业高质量发展
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沈海表示，为进一步推动数据高效流通，畅通数据资源循环，促进数据互联互通和全国一体化数据市场培育，广州数据交易所积极响应国家数据基础设施建设工作要求，在努力建设规范高效的数据交易平台体系的同时，加强创新服务平台建设。
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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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融入全国统一大市场，推动数字经济“多作贡献”。为充分发挥数据要素乘数效应，当前，贵州把“全域数字化改革”作为数据要素市场化价值化政策抓手，提出通过“一体两翼三大转型”，即“一体”打造数字产业集聚区和数据要素综合试验区，建设算力高地、数据高地这“两翼”，推动治理数字化转型、生活数字化转型、产业数字化转型，在数据供给、数商集聚、数才引育、数园建设、营商环境等方面集中发力、深化改革，推动算力、数据、应用、产业协同联动，促进数据产业高质量发展。
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