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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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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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。
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深化数据要素市场化配置改革、构建以数据为关键要素的数字经济，发展数据产业是重要举措。去年底，国家发展改革委等部门《关于促进数据产业高质量发展的指导意见》明确指出，数据产业是利用现代信息技术对数据资源进行产品或服务开发，并推动其流通应用所形成的新兴产业，包括数据采集汇聚、计算存储、流通交易、开发利用、安全治理和数据基础设施建设等。贵州做强做优数字经济，促进数据产业高质量发展是题中应有之义。
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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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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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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以广州数据交易所为例，在合规保障方面，其建立了数据流通交易全生命周期安全管控制度体系，强化数据安全、产品安全、系统安全、生态安全管控措施，同时搭建起数据交易分级分类标准、数据质量管理、数据资产管理等数据全生命周期安全管理体系。
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