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。
然而，基础制度建设的滞后性日益凸显——数据确权机制尚未贯通，导致机构数据“不愿供”；数据流通交易规则仍以各地分散探索为主，市场定价与安全互信机制仍待完善，数据产品“流不动”的困局持续存在。以上种种因素，严重削弱了金融机构在风险定价、精准营销和产品创新等方面发挥数据要素驱动作用，也阻碍了金融资源配置效率和数字化风控水平的提升。
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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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。
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。
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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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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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。
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。
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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