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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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此外,数据交易机构可以引导数据产品开发者强化“数据价值”意识,提升数据产品的实用性和市场适应性。在各数据交易机构的积极运营下,越来越多的开发者对数据价值的洞察力和应用能力正不断提升。可以进一步建立指标协同提升机制,引导开发者不再孤立追求单一指标优化,而是通过提升数据价值密度(要素密集度)倒逼透明度与稳健性的系统性改进,将数据更深度地融入产品开发中。
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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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在融合创新方面,通过整合来自不同渠道和不同维度的数据,帮助金融机构获得更全面、更深入的市场洞察,为金融机构提供市场情报和决策支持,推动金融产品的创新和服务模式的升级,设计出更加符合市场需求和客户需求的金融产品和服务。
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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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发展新兴数据产业,是抓牢新一轮科技革命和产业变革机遇的当务之急。数字赋能是新一轮科技革命和产业变革的基本特征和动力之源,我们也看到,数字经济的新趋势,是人工智能牵引和诠释科技创新、产业革新。数字科技融入人们的传统生产生活场景后,在认知模式、生产方式都被深度重构的同时,也极大拉近了人们与预想目标甚至未知世界的距离,生产效率和生活便捷度都在不断出现各种前所未有的新变化,这或许就是数据价值开发、培育新兴数据产业的意义所在。
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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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发展新兴数据产业,是发展新质生产力、塑造发展新动能新优势、促进数据要素价值释放的需要。在权属与安全的责任前提下,数据流通一般没有地域限制,数据价值的开发利用也是一种发散而连绵不绝的过程,价值链随着研发、运用的场景变化而不断延伸。数据产业的空间之所以大,也正是因为场景开发可以遍地开花,是一种想象力大爆发带来的数字生产力使然。而场景创新的主要目的,其实是把人、机器、产品、服务以及情感,进行跨领域、跨时空的聚集、融合,从而实现生产流程再造和产业形态重塑,推动资金、人才等传统要素和新兴数据要素价值跃升。
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报告通过数据分析发现,数据产品的透明度对综合得分影响显著,尤其是与稳健系数与要素密集度指标之间均存在较为显著的相关性。不过,整体来看,目前数据产品交易市场透明度得分最低,主要原因是价格透明度得分拉低了平均水平,大部分产品没有公开具体的价格,也没有明确的计费标准,信息披露仍需要继续完善。从透明度指标细分来看,上海数据交易所得分最高。
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。
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。
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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