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同时，广州数据交易所贯彻落实《行动计划》提出的“以推进数据要素协同优化、复用增效、融合创新作用发挥为重点”的指导思想，通过构建全链条服务体系，着力促进金融领域释放数据乘数效应。
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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激发数据潜力，桥接金融动力 按照“规范、透明、公开”以及“真实可信、合规可控、记录可溯、创新可拓”的原则，围绕打造登记、估值、挂牌、披露四项核心功能，探索数据资产交易市场建设，促进数据要素市场与金融要素市场联动发展。
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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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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。
发展新兴数据产业，是抓牢新一轮科技革命和产业变革机遇的当务之急。数字赋能是新一轮科技革命和产业变革的基本特征和动力之源，我们也看到，数字经济的新趋势，是人工智能牵引和诠释科技创新、产业革新。数字科技融入人们的传统生产生活场景后，在认知模式、生产方式都被深度重构的同时，也极大拉近了人们与预想目标甚至未知世界的距离，生产效率和生活便捷度都在不断出现各种前所未有的新变化，这或许就是数据价值开发、培育新兴数据产业的意义所在。
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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。
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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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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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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