设立500万元专项资金，泰安支持企业开展数据资产入表，加快数据资产化进程

Core Viewpoint - The government of Tai'an is implementing a data factor value reform, focusing on market-oriented allocation and integration of data resources to enhance economic development and innovation [3][4]. Group 1: Data Resource Integration - Tai'an has established a comprehensive data resource pool, gathering 10.5 billion public data entries with a real-time update rate exceeding 60% [3]. - The city has completed registration and confirmation of 144 data sets across 82 industry departments, and developed 14 high-quality industry data sets, with 6 recognized for provincial awards [3]. Group 2: Market Operation and Data Asset Management - Eight enterprises have been authorized to operate public data in sectors like finance and tourism, with a new model for secondary rights of data products established [4]. - A data asset management service platform has been created, and a regional data asset certification center has been established to support the entire data asset operation process [4]. - A special fund of 5 million yuan has been allocated to support enterprises in data asset registration [4]. Group 3: Application Scenarios and Value Creation - Innovative applications such as "Credit Precision Portrait" and "Shou Bi Tai Shan" smart elderly care platform have been launched, integrating services from various providers [5]. - Financial innovations are being explored, including data asset pledge financing with local banks [5]. - The "Government Insurance Connection" platform has reduced insurance claim processing time to within 24 hours, enhancing public service efficiency [5]. Group 4: Industrial Ecosystem and Policy Support - The municipal government has formed a dedicated task force to ensure the orderly advancement of data value and industrialization [6]. - New policies have been introduced to facilitate the assetization of public data and to establish a clear path for data value realization [6]. - The city is also focusing on building a trusted data space and enhancing the data labeling industry, with over 30 companies involved in the data lifecycle [6].