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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。
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目前，广州数据交易所已按照数据资源化、产品化、资产化、资本化的完整链路构建起一套涵盖企业数据资产管理各阶段的实施路径。沈海介绍，首先要引导企业经由数据治理、资源盘点与质量管理，达成数据资源化；继而通过数据合规管理、产权登记及应用场景开发，实现数据产品化；随后借助数据交易与资产入表，完成数据资产化；最终以数据资产投融资等手段，推动数据资本化。他认为，通过产权登记明确数据权属关系，既可增强数据交易可信度，使金融机构在获取和使用数据时更加确信数据的来源和合法性，避免权属纠纷，降低法律风险，也可获得数据产权登记证书，作为企业融资增信的依据，拓宽企业融资渠道，促进数据要素市场的繁荣。
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具体而言，在协同优化方面，广州数据交易所通过数据分析，推动金融机构更精准地把握市场需求和资源供给的变化，实现资源的最优配置，从而提升整体运营效率。
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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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此外，数据交易机构可以引导数据产品开发者强化“数据价值”意识，提升数据产品的实用性和市场适应性。在各数据交易机构的积极运营下，越来越多的开发者对数据价值的洞察力和应用能力正不断提升。可以进一步建立指标协同提升机制，引导开发者不再孤立追求单一指标优化，而是通过提升数据价值密度（要素密集度）倒逼透明度与稳健性的系统性改进，将数据更深度地融入产品开发中。
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目前，广州数据交易所已按照数据资源化、产品化、资产化、资本化的完整链路构建起一套涵盖企业数据资产管理各阶段的实施路径。沈海介绍，首先要引导企业经由数据治理、资源盘点与质量管理，达成数据资源化；继而通过数据合规管理、产权登记及应用场景开发，实现数据产品化；随后借助数据交易与资产入表，完成数据资产化；最终以数据资产投融资等手段，推动数据资本化。他认为，通过产权登记明确数据权属关系，既可增强数据交易可信度，使金融机构在获取和使用数据时更加确信数据的来源和合法性，避免权属纠纷，降低法律风险，也可获得数据产权登记证书，作为企业融资增信的依据，拓宽企业融资渠道，促进数据要素市场的繁荣。
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报告通过数据分析发现，数据产品的透明度对综合得分影响显著，尤其是与稳健系数与要素密集度指标之间均存在较为显著的相关性。不过，整体来看，目前数据产品交易市场透明度得分最低，主要原因是价格透明度得分拉低了平均水平，大部分产品没有公开具体的价格，也没有明确的计费标准，信息披露仍需要继续完善。从透明度指标细分来看，上海数据交易所得分最高。
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目前，广州数据交易所已按照数据资源化、产品化、资产化、资本化的完整链路构建起一套涵盖企业数据资产管理各阶段的实施路径。沈海介绍，首先要引导企业经由数据治理、资源盘点与质量管理，达成数据资源化；继而通过数据合规管理、产权登记及应用场景开发，实现数据产品化；随后借助数据交易与资产入表，完成数据资产化；最终以数据资产投融资等手段，推动数据资本化。他认为，通过产权登记明确数据权属关系，既可增强数据交易可信度，使金融机构在获取和使用数据时更加确信数据的来源和合法性，避免权属纠纷，降低法律风险，也可获得数据产权登记证书，作为企业融资增信的依据，拓宽企业融资渠道，促进数据要素市场的繁荣。
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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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