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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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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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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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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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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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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。

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广州数据交易所副总经理沈海认为，数据交易所承担着包括数据合规交易保障者、数据资源整合者、数据流通与开发利用促进者、数据流通基础设施建设者、数据产业市场认知培育者在内的多重责任，要通过提供安全、高效、合规的数据交易平台，促进数据要素的流通和价值释放。

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