构建全球数据流通的“桥梁” 数据空间创新发展研讨会在京召开

Core Insights - The data space is transitioning from a "technical concept" to an "international consensus" and "industry practice" [1] - Establishing a data circulation system based on trust is essential for unlocking the systemic value of the digital economy [1] - The construction of data spaces aims to create bridges rather than barriers, addressing the trends of fragmentation, involution, and reconstruction in global data circulation [1] Group 1: Standards and Frameworks - The "IEEE P1988 Cross-Border Data Space Architecture Standard" was officially launched, aiming to establish a unified framework and protocol for cross-border data flow [2] - The development of data spaces is characterized as both a technical and trust engineering endeavor, with an emphasis on embedding governance mechanisms and rule systems into the data space [2] Group 2: Testing and Certification - The IDS testing and certification system is highlighted as a crucial trust mechanism for data spaces, facilitating interoperability and ecological collaboration [3] - A rigorous and fair testing certification process is essential for measuring technological maturity and building a trust system [3] Group 3: Ecosystem Development - The next key tasks in data space development are focused on "verifying mechanisms" and "organizing ecosystems" rather than merely proposing concepts [4] - Data spaces are viewed as a new type of public good in the global digital era, requiring open collaboration and mutual trust for robust industry growth [4]