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| Research on the Participatory Construction of Trusted Data Spaces from the Perspective of Resource Orchestration Theory |
| Chen Xiaoyu1,2, Liu Junjie1, Pei Lei3,4 |
1.School of Cultural Heritage and Information Management, Shanghai University, Shanghai 200444
2.Information Research Center, Shanghai University, Shanghai 200444
3.Laboratory of Data Intelligence and Interdisciplinary Innovation, Nanjing University, Nanjing 210023
4.School of Information Management, Nanjing University, Nanjing 210023 |
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Abstract Amid the accelerating process of data factorization and the strategic imperative of trustworthy data governance, trusted data spaces have emerged as key infrastructures to promote compliant data sharing and unlock the value of data elements. However, current practices for the construction of trusted data spaces are hindered by weak multi-subject collaboration, inefficient resource coordination, and unclear organizational mechanisms. While existing studies mainly focus on technical architecture or institutional frameworks, they lack a systematic perspective on participatory construction from a resource orchestration standpoint. This study introduced the Resource Orchestration Theory (ROT) as an analytical framework, and examined the current status and governance challenges of trusted data spaces in China. It elaborated on the three core processes of the theory—resource structuring, bundling, and leveraging—and argued its suitability for coordinating heterogeneous data resources across multiple actors. Building on this foundation, this study constructed a resource orchestration logic chain for trusted data spaces and proposed a participatory construction pathway encompassing three stages: resource structuring (data sovereignty confirmation and credibility evaluation), resource bundling (multi-subject collaboration to enhance data value), and resource leveraging (scenario-driven dynamic invocation). It further delineated the dynamic coordination among progressive construction stages, multi-dimensional spatial levels, and collaborative construction actors. A three-phase model—preparation, adjustment, and continuous development—was designed to support full-process governance and adaptive implementation. To empirically validate the proposed theoretical pathway and stage model, this study selected representative domestic and international cases—including the National Basic Science Data Center, Zhangjiakou Trusted Data Space, and Catena-X Automotive Network—for a comparative analysis. It systematically examined the specific manifestations and practical outcomes of participatory construction mechanisms across different evolutionary stages. The findings suggest that the ROT provides a coherent theoretical lens and operational framework for the participatory construction of trusted data spaces, enhancing resource utilization efficiency, adaptive resilience, and collaborative value co-creation.
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Received: 25 July 2025
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