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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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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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此次，每日互动参与全国首单获批的数据资产证券化项目，再次验证了公司数据资产的价值和资本市场的认可度。通过此次数据资产证券化项目，每日互动不仅成功拓宽了公司的融资渠道，更进一步向资本市场彰显了公司数据资产的可靠性和增值潜力。
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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。
报告指出，尽管在数据要素市场建设初期存在诸多挑战，但通过持续优化和规范运作，各交易机构在深化数据驱动理念方面发挥着不可替代的作用，正逐步提升服务质量和市场适应性，构建高效、透明的数据流通体系贡献力量。相信随着信息透明度的不断提升，数据交易市场将迎来更广阔的发展前景。
在市场认知培育方面，通过举办培训、论坛、研讨会等活动以及发布行业报告、指南等方式，提高市场对数据价值的认识和理解，推动数据流通市场发展，指导企业开展数据资产管理，拓展数据资产化路径。
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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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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基于规范高效的数据交易平台体系以及系列创新服务平台，围绕数据交易流通中的“数据要素×金融服务”创新实践，目前广州数据交易所多款产品已在金融场景广泛应用。
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