Abstract: The integration of big data technology and scientific data has spawned numerous new paradigms for scientific research and brought about a widespread need for cross-center collaborative analysis of scientific data. However, such analysis faces significant technical challenges, including inefficient cross-center data transfer, difficulties in cross-framework heterogeneous computing, and low efficiency in cross-center job scheduling, while also requiring trustworthiness throughout the analysis process. To address these technological challenges, a scientific data cross-center collaborative analysis service system called BigFlow has been developed.The systems cross-center collaborative analysis capabilities have been tested and validated based on scenarios such as large-scale astronomical star catalog cross-matching and the identification of check dam locations in the Yellow River basin.

Key words: integrated analysis, cross-center collaborative analysis, cross-framework workflow, trustworthy analysis