Data Sharing and Reuse: A Method by the AIRR Community.

Area of Science:

• Immunology
• Bioinformatics
• Data Science

Background:

• High-throughput sequencing of adaptive immune receptor repertoires (AIRR-seq) has transformed the study of adaptive immune responses.
• The AIRR Community aims to make AIRR-seq data Findable, Accessible, Interoperable, and Reusable (FAIR).
• The MiAIRR data standard provides the foundation for data interoperability and reuse.

Purpose of the Study:

• To illustrate how FAIR principles and AIRR Community standards can be integrated into AIRR-seq data analysis workflows.
• To emphasize the importance of metadata curation for reproducibility and data sharing.
• To demonstrate data sharing through the AIRR Data Commons.

Main Methods:

• Leveraging the MiAIRR data standard for data annotation.
• Utilizing the AIRR Data Commons for distributed data storage and access.
• Incorporating metadata curation best practices into analysis pipelines.

Main Results:

• Established methods for integrating AIRR Community standards into AIRR-seq analysis.
• Demonstrated the value of annotated AIRR-seq data for reuse.
• Facilitated data sharing and discovery via the AIRR Data Commons.

Conclusions:

• Adherence to AIRR Community standards and FAIR principles enhances AIRR-seq data utility.
• Robust metadata curation is crucial for reproducible and reusable immunological research.
• The AIRR Data Commons serves as a vital resource for sharing and accessing annotated AIRR-seq data.