C-BIG

C-BIG aggregates and manages biospecimen, clinical, imaging, and genetic datasets from neurological disease cohorts to support integrated analysis of neurological disorders.

Key Features:

• Multimodal Data Integration: Aggregates biospecimens with associated clinical, imaging, and genetic datasets from patients with neurological diseases and healthy controls.
• Biospecimen and Clinical Data Repository: Stores and curates institutional biospecimens linked to patient clinical records and associated experimental data.
• Centralized Data Aggregation: Consolidates datasets from multiple projects and study sites to support large-scale neurological research.
• Data Curation and Archiving: Supports systematic collection, tracking, curation, and archiving of multimodal biomedical research data.

Scientific Applications:

• Neurological Disease Research: Enables integrated analysis of clinical, imaging, and genetic data for the study of neurological disorders.
• Rare Disease Investigation: Facilitates aggregation of datasets from limited patient populations to support research on rare neurological diseases.

Methodology:

C-BIG collects, tracks, curates, and archives biospecimens and associated clinical, imaging, and genetic data within a centralized repository to enable multimodal biomedical data analysis.