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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。
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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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。
数字经济的重要作用、重大意义越来越突出，作为其中新锐，新兴数据产业定是重中之重。发展新兴数据产业是一项系统工程，而观其重点，是要推动数字经济人才、经营主体量质齐升，从数据汇聚、标注，再到场景创新、产品研发、市场开拓，每一个环节都可能有若干赛道，需要政企协力尤其需要企业力量，去打开市场需求的新大门。新兴数据产业是贵州明确提出要发展的三大未来产业之一，在算力、政策基础越来越稳固的环境中，相信新兴数据产业的“黔”力也是越来越大，数字经济的贡献也会越来越多。
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。
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。
贵数所对上架产品的信息披露更为公开透明。据贵数所公开的产品类型信息，数据产品、算法模型、算力基础设施三类产品占比较多，也从侧面反映出贵数所将贵州本地的算力产业优势与数据交易市场进行了有效衔接。
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