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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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同时，广州数据交易所贯彻落实《行动计划》提出的“以推进数据要素协同优化、复用增效、融合创新作用发挥为重点”的指导思想，通过构建全链条服务体系，着力促进金融领域释放数据乘数效应。

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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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“越是回归数据要素价值本义的产品，对包括价格在内的信息披露态度会越开放，也更容易寻找到可落地的应用场景和市场空间。”报告建议，应构建市场驱动的透明生态，建立统一规范的基本信息披露标准；引导数据产品开发者树立正确的产品开发思维，提升数据产品的实用性和市场适应性。

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在复用增效方面，促进金融机构之间数据的互联互通，促进数据的复用和共享，形成风险管理、客户服务等方面的协同效应，降低金融机构的信息获取成本，提高数据使用的效率和准确性，进而提升整体服务水平。

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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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数字经济的重要作用、重大意义越来越突出，作为其中新锐，新兴数据产业定是重中之重。发展新兴数据产业是一项系统工程，而观其重点，是要推动数字经济人才、经营主体量质齐升，从数据汇聚、标注，再到场景创新、产品研发、市场开拓，每一个环节都可能有若干赛道，需要政企协力尤其需要企业力量，去打开市场需求的新大门。新兴数据产业是贵州明确提出要发展的三大未来产业之一，在算力、政策基础越来越稳固的环境中，相信新兴数据产业的“黔”力也是越来越大，数字经济的贡献也会越来越多。

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