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January 2025
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A research data platform for collecting, storing, and analyzing rapidly growing scientific datasets.

Parallel access, query, and download of massive data

Standardize full and incremental data acquisition

Embed multiple data computing and presentation models

Massive historical data stored online permanently
Adopt mature advanced big data technologies and use high-performance servers and network equipment to build a stable, efficient, centrally controllable big data public-service platform, thereby providing stable, efficient big data, machine-learning, AI, and industry-domain research environments.

A unified resource-management platform raises information-resource management efficiency of the research data platform.
Effectively integrate research data resources, raise efficiency of data sharing and information linkage, mine new data value, and support decision management.
Second-level response on billion-scale data volumes, strengthening massive-user data processing and delivering a strong user experience.

津公网安备 12011602000521号
津公网安备 12011602000521号



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