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广州数据交易所：构建数据交易全链条服务体系 助推金融业高质量发展
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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。
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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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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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。
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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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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。
然而，基础制度建设的滞后性日益凸显——数据确权机制尚未贯通，导致机构数据“不愿供”；数据流通交易规则仍以各地分散探索为主，市场定价与安全互信机制仍待完善，数据产品“流不动”的困局持续存在。以上种种因素，严重削弱了金融机构在风险定价、精准营销和产品创新等方面发挥数据要素驱动作用，也阻碍了金融资源配置效率和数字化风控水平的提升。
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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。
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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。
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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