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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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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。
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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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作为国家数据要素综合试验区之一，算力优势必须切实转化为产业优势，这也是贵州发展新兴数据产业的必然要求。目前，贵州正在探索符合区域特点的数据价值释放路径，通过“数据要素×”等方式进一步激发经营主体活力，培育了贵阳大数据交易所、数据宝、迦太利华、梦动科技等数据企业，希望壮大数据要素市场，“打造释放数据价值的标志性成果”，为西部地区推进数据要素市场化配置改革提供经验借鉴。
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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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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