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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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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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南方财经全媒体记者马嘉璐 卓皙雯 研究员时紫萱 仇雯 吴晓燕 广州报道
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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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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》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。
在完成数据产权登记试点的基础上，广州数据交易所依托自身专业服务能力，助力央国企、民营企业规范开展数据资源入表工作，先后参与了多项数据资产化相关研究项目，并通过培训、完善数据资产登记交易机制等措施，深化市场对数据资源入表的理解，助力企业实现数据资源从“无形资产”到“合规资产”的转化，为数据要素市场化配置提供了可复制、可推广的实践经验。
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应用潜力指标反映了数据产品适应市场变化的能力以及未来发展空间，得分差异的主要原因是多数产品没有建立适应市场需求变化的灵活应对机制，以及公开交易量、搜索量等客观反馈数据差异。从应用潜力指标细分来看，广州数据交易所得分最高。
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