DEPOT

DEPOT integrates and standardizes multi-domain tuberculosis datasets (socioeconomic, geographic, clinical, laboratory, radiological, and genomic) to enable analysis of drug-resistant tuberculosis, including multidrug- and extensively-drug resistant cases.

Key Features:

• Integration of Multi-Domain Data: Combines socioeconomic, geographic, clinical, laboratory, radiological, and genomic data into a unified dataset.
• Standardized Formats: Applies consistent data standardization across datasets to support reliable comparative analyses.
• Analysis-Ready Data: Produces datasets prepared for downstream analysis without extensive preprocessing.
• Visualization Tools: Provides capabilities to visualize complex multi-domain tuberculosis data.
• FAIR Compliance: Implements data practices aligned with the NIH FAIR principles (Findable, Accessible, Interoperable, Reusable).
• Dataset Scope: Contains records for 2,428 cases from Azerbaijan, Belarus, Moldova, Georgia, Romania, China, India, Kazakhstan, and South Africa, with 66% classified as multidrug- or extensively-drug resistant.

Scientific Applications:

• Drug-Resistant TB Research: Enables analyses of epidemiology, clinical characteristics, and outcomes of multidrug- and extensively-drug resistant tuberculosis.
• Diagnostics and Treatment Development: Supports evaluation and development of novel diagnostics and personalized treatment strategies for DR-TB.
• Medical Training: Provides well-annotated MDR-TB patient cases for clinical education and case-based learning.
• Comparative and Cross-Country Studies: Facilitates cross-country analyses using standardized multi-domain data from nine countries.

Methodology:

Integration and standardization of heterogeneous multi-domain datasets and preparation of analysis-ready data, with support for data visualization.