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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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此外，广州数据交易所还积极联合数据企业与金融机构，通过与产业需求精准对接，开发出一系列独具特色的金融数据产品，充分发挥数据要素与金融服务双驱动作用，赋能实体经济发展。
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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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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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发展新兴数据产业，是发展新质生产力、塑造发展新动能新优势、促进数据要素价值释放的需要。在权属与安全的责任前提下，数据流通一般没有地域限制，数据价值的开发利用也是一种发散而连绵不绝的过程，价值链随着研发、运用的场景变化而不断延伸。数据产业的空间之所以大，也正是因为场景开发可以遍地开花，是一种想象力大爆发带来的数字生产力使然。而场景创新的主要目的，其实是把人、机器、产品、服务以及情感，进行跨领域、跨时空的聚集、融合，从而实现生产流程再造和产业形态重塑，推动资金、人才等传统要素和新兴数据要素价值跃升。
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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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另一方面，建设可信数据交付管理平台，打造多形态、多密级的数据交付能力，提供一站式、全流程的数据交付服务，建立起覆盖交易前、交易中、交易后的全流程管理与监督体系，实现了数据交易的精细化管理。
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发展新兴数据产业，是发展新质生产力、塑造发展新动能新优势、促进数据要素价值释放的需要。在权属与安全的责任前提下，数据流通一般没有地域限制，数据价值的开发利用也是一种发散而连绵不绝的过程，价值链随着研发、运用的场景变化而不断延伸。数据产业的空间之所以大，也正是因为场景开发可以遍地开花，是一种想象力大爆发带来的数字生产力使然。而场景创新的主要目的，其实是把人、机器、产品、服务以及情感，进行跨领域、跨时空的聚集、融合，从而实现生产流程再造和产业形态重塑，推动资金、人才等传统要素和新兴数据要素价值跃升。
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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报告显示，数据产品交易市场的透明度有待提高，信息披露仍需要继续完善，尤其在价格方面，大部分产品没有公开具体的价格，也没有明确的计费标准；数据使用规范性仍需加强，市场活跃度有待提升。此外，各交易机构对数据产品的理解把握和引导作用显著，产品中“数据”的浓度普遍较高，但同时也存在部分数据产品存在过于追求上架产品数量、将完整产品拆分成多个子产品的情况。
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