数据作为独立标的物如何交易？官方推出四类场景合同示范文本

Core Viewpoint - The issuance of standardized contract templates for data circulation transactions aims to facilitate smoother and more efficient data trading among businesses, addressing existing challenges in the market [3][4][5]. Group 1: Contract Types - The standardized contract templates focus on four typical scenarios in data circulation: data provision, data entrusted processing, data fusion development, and data intermediary services [3]. - The data provision contract is designed for data providers to share data with recipients through various means, including paid transactions and licensing [3]. - The data entrusted processing contract allows data owners to delegate data processing tasks to third parties based on specific instructions [3]. - The data fusion development contract facilitates collaboration among parties to share data for creating platforms or pools, such as AI training zones [3]. - The data intermediary services contract pertains to the facilitation of data transactions through marketing, information dissemination, and contract establishment [3]. Group 2: Benefits and Efficiency - The standardized contracts include common clauses regarding data ownership, confidentiality, liability, and dispute resolution, which are tailored to the specific needs of data circulation transactions [4]. - The introduction of these templates is expected to significantly reduce negotiation costs and improve transaction efficiency by approximately 30% [4][5]. - The templates will help businesses avoid lengthy negotiations and unclear contract terms, which have previously led to disputes and increased costs [4][5]. Group 3: Market Implications - The availability of standardized contracts encourages businesses to treat data as a distinct commodity, enhancing participation from risk-averse entities like state-owned enterprises and financial institutions [6]. - The growing trend of data trading is reflected in the financial disclosures of listed companies, indicating a shift towards more structured and compliant data transactions [5][6].