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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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“在数字经济时代，数据已成为企业最宝贵的资产之一，其潜在价值亟待挖掘与释放。如何将数据转化为实际生产力及资产，一直是行业面临的难题。”沈海表示，该数据产品不仅为企业开辟了新的融资渠道，降低了融资成本，为企业绿色转型提供了强有力的金融支持，更通过将企业碳账户数据产品化，为企业提供了一个全新的价值衡量标准，使企业能够更加直观地了解自身碳排放水平，并据此制定针对性的减排措施，为实现碳减排目标和可持续发展注入新动力。
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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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证监会重磅新规规范上市券商监管 薪酬、再融资、投资者保护成新增关注重点
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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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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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。
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分地区来看，各大数据交易机构的金融场景数据产品分别有哪些特征？《报告》统计分析发现，北数所注重数据来源的授权使用；上数所聚焦金融产品应用场景；广数所聚焦数据技术的应用；深数所致力于构建多元场景生态矩阵；贵数所聚焦提供多样化数据服务。
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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。
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