The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data

Area of Science:

• Genomics
• Bioinformatics
• Data Science

Background:

• The Genome Sequence Archive (GSA) family is a vital resource for multi-omics data management.
• Previous versions facilitated data archiving, retrieval, and sharing for academic and industrial communities.
• Continuous improvement is necessary to accommodate evolving data types and user needs.

Purpose of the Study:

• To report the significant expansion and upgrades of the GSA family of databases.
• To introduce the Open Biomedical Imaging Archive (OBIA) as a new repository.
• To detail enhancements in data type diversity, quality control, retrieval, and sharing mechanisms.

Main Methods:

• Integration of the new Open Biomedical Imaging Archive (OBIA).
• Comprehensive upgrades to existing GSA family databases (GSA, GSA-Human, OMIX).
• Implementation of improved data quality control and retrieval systems.

Main Results:

• The GSA family now comprises four distinct repositories: GSA, GSA-Human, OMIX, and OBIA.
• Expanded data type acceptance across all repositories.
• Strengthened data quality control, improved data retrieval efficiency, and refined data-sharing management.

Conclusions:

• The enhanced GSA family provides a more robust and comprehensive platform for multi-omics data.
• These upgrades facilitate broader and more efficient global research collaboration.
• The GSA family continues to be a leading resource for biological data archiving and sharing.