（原标题：专访原海南省大数据管理局局长董学耕：2026年数据要素价值规模化释放可期，全国一体化 数据市场或成破局关键） 专家解读。 日前，全国数据工作会议明确将2026年定为 "数据要素价值释放年"，标志着我国数据要素市场化配置 改革正式从基础制度建设阶段，迈入价值创造与验证的关键新时期。这一重大定调不仅为数据产业发展 指明了方向，也引发了业界对价值释放路径、市场建设路径等核心议题的广泛关注。 为深入解读 "数据要素价值释放年" 的深层内涵，厘清全国一体化数据市场建设的实践难点与突破方 向，证券时报记者专访了原海南省大数据管理局局长董学耕。董学耕认为，当前数据要素发展已到量变 到质变的关键节点，2026年数据要素价值规模化释放完全值得期待，而建设全国一体化数据市场则是破 解数据要素价值释放难题的必由之路。 今年数据要素价值规模化释放完全可以期待 证券时报：您如何理解2026年被称为"数据要素价值释放年"的深层含义？ 董学耕：数据要素价值释放从数据要素提出以来就一直是不变的主题。数据作为要素的含义就是数据要 嵌入进生产流通过程，释放价值。业界为此一直在积极探索，不断积累案例、经验，也取得了积极成 效。全国数据工 ...

公共数据是数据要素的重要组成部分，蕴含巨大价值。"十四五"时期，我国持续建立健全公共数据开发 利用政策体系，让公共数据"跑起来""用起来"，取得了积极进展。 "横向贯通、纵向联动"的共享体系基本建成。横向看，浙江、福建、重庆等多地加快构建一体化政务大 数据体系，支撑跨层级、跨部门、跨业务数据调用，让数据赋能基层减负、便利企业群众办事。纵向 看，全国一体化政务数据共享枢纽推动部门数据向地方回流，支撑各地区各部门共享调用超5400亿次， 有效支撑"高效办成一件事"清单落地，企业群众获得感不断增强。 展望"十五五"，公共数据在供给环节将从机制探索走向规模运营，在应用环节将从场景示范迈向全域赋 能。随着数据要素市场化配置改革深入推进，公共数据价值将得到充分释放，数字中国建设活力将更加 澎湃。 （作者欧阳日辉为中央财经大学中国互联网经济研究院副院长、国家数据专家咨询委员会委员，本报记 者王云杉采访整理） [ 责编：金昱希 ] 公共数据开放"数林"茁壮成长。2024年，全国地市级以上地方公共数据开放平台数量增长7.5%，开放的 数据量增长7.1%。公共数据开放"数林"的"根系"持续向基层延伸，广东、江苏、山东等11个省级 ...

停车数据有什么 价值？广东援疆 推动数据资产登 记入表取得新突 破_南方+_南方 plus 停车数据、水务 数据也能产生经 济价值？日前， 广东数字援疆工 作再次取得重要 进展，推动喀什 地区公共服务领 域数据资产化迈 出关键一步。 12月13日，"数 据赋新能 资产 启华章"喀什市 数据资产入表成 果发布活动在广 州数据交易所 （喀什）服务基 地举办。近期， 在新疆维吾尔自 治区数字化发展 局、广东援疆前 方指挥部的指导 与支持下，喀什 市委市政府、喀 什地区数字化发 展局以及广州数 据交易所（喀 什）服务基地协 同推进，喀什城 投公共停车运营 管理有限公司 （简称"喀什城 投停车"）与喀 什水务集团有限 公司（简称"喀 什水务集团"） 成功实现数据资 产入表。 这也是全疆首批 数据资产登记入 表的成果。数据 资产入表是指数 据资源在满足一 定条件下被计入 财务报表，意味 进了数据的流通 与共享，让更多 的企业获取并运 用数据，助推数 字经济实现创新 发展。 数据资产化：让 停车数据"活起 来" 着数据能够进行 买卖、交易以及 抵押，进一步促 此次成果标志着 喀什在公共服务 数据资产化方面 取得实质性突 破 ...

Core Viewpoint - The Chinese meteorological industry has achieved significant progress in coordinated development, with a focus on data sharing and resource integration across various sectors [1][2] Group 1: Data Sharing and Integration - The meteorological department has shared over 100 types of meteorological data products with society, issuing 1.06 million meteorological data identity tags [1] - Nearly 200,000 industry station data points have been shared, enhancing disaster prevention and relief efforts [1] - Collaboration among meteorological departments and other sectors has led to the effective use of meteorological data in services [1] Group 2: Governance and Standards - A governance framework has been established for meteorological data, including a safety regulation platform and a data identity tagging system [1] - The meteorological industry is working on a unified monitoring network and standard system, promoting mutual recognition of standards among departments [2] - Efforts are being made to integrate meteorological data with other industry data to support sectors like low-altitude economy and renewable energy [2]

Core Viewpoint - The first public data product in Xinjiang has been officially released, marking a significant step towards market application and enhancing digital development in the region [3][4]. Group 1: Public Data Product Launch - The first public data product procurement intention signing ceremony took place in Kashgar, involving the Kashgar Meteorological Service Center and China People's Property Insurance Company [2][3]. - This launch signifies the entry of Xinjiang's first public data product into the market application phase, aimed at establishing Kashgar as a digital highland for westward openness [4][28]. Group 2: Government Support and Policy Framework - The development and utilization of public data resources are emphasized as crucial national strategic resources, with a directive from the Central Committee and State Council to accelerate their development [7][8]. - The directive aims to eliminate systemic barriers to public data circulation, stimulate sharing and openness, and optimize resource allocation to unleash market innovation [9][10]. Group 3: Collaboration and Strategic Partnerships - The Guangzhou Data Exchange (Kashgar) service base has actively engaged with local meteorological systems and financial institutions to promote the first "big data + meteorology + finance" product [12][15]. - A strategic cooperation agreement was signed between the Kashgar Meteorological Bureau and Xinjiang Aerospace Information Technology Company to enhance the development and market operation of meteorological data [22][23]. Group 4: Economic Impact and Future Prospects - The meteorological data product is expected to provide precise data support for insurance companies in claims, risk control, and product design, thereby aiding the high-quality development of agriculture, insurance, and disaster reduction in Kashgar [26][28]. - The Guangzhou Data Exchange (Kashgar) service base has developed 58 members and facilitated transactions totaling 125 million yuan, indicating a growing market for data trading in the region [36][38].

Core Insights - The "Data Element ×" initiative has achieved significant progress in over a year, uncovering a number of excellent data development and utilization solutions that effectively promote the release of data element value across various industries [1][2] Group 1: Initiative Overview - The initiative is driven by pilot projects in sectors such as financial services, meteorology, and traditional Chinese medicine, aimed at addressing challenges in data aggregation, circulation, and usage within industries [1] - A total of 48 typical cases of "Data Element ×" have been published, facilitating the use of data to solve industry development challenges and enhance quality [1] - The "Data Element ×" competition attracted over 19,000 teams and approximately 100,000 participants last year, resulting in a number of replicable, scalable, and high-value data development projects [1] Group 2: Future Directions - The National Data Bureau plans to continue advancing the "Data Element ×" initiative in collaboration with various departments, focusing on typical application scenarios to explore new models and pathways for releasing data element value [2] - There is an emphasis on encouraging more enterprises to participate in pilot projects, case selection, and competition activities to activate data element value and provide new momentum for high-quality development across industries [2]