BRAIN SCE

BRAIN SCE provides a unified workbench designed to streamline statistical computing processes. It integrates essential tools for statistical programming, code management, and issue tracking, optimizing workflows and enhancing productivity.

Benefits

• All-in-one statistical programming hub: Centralizes all statistical programming activities, from program and dataset creation to submission artifact development, supported by integrated workflows and version control.
• Seamless specifications management: Eliminates the need for spreadsheets by offering built-in digital specifications for SDTM, ADaM, and analysis results, ensuring traceability from raw data to final outputs.
• Dynamic knowledge graph insights: Allows visualization of dependencies and data transformation paths, enhancing understanding of data lineage from raw data to analysis results.
• Rapid search and navigation: Facilitates quick access to artifacts, reducing time and effort in locating necessary files.

Features

• Multi-language programming: Supports seamless work with various programming languages through native interfaces.
• Search and navigation: Provides intuitive tools to quickly locate programs, datasets, and output files.
• Reusable digitized specifications: Enables creation and reuse of metadata objects across studies, enhancing efficiency.
• Issue tracking and automated notifications: Integrates issue tracking with automated notifications, maintaining a full audit trail.
• Code promotion: Offers a workflow for promoting code from development to production, ensuring stakeholder review and approval.
• Secure environment: Provides flexible access management, ensuring security at multiple levels.
• Biometrics warehouse: Manages data, programming artifacts, and metadata in a single environment.
• Full traceability: Automatically maintains a comprehensive audit trail and analysis lineage.
• Collaborative workflows: Integrates issue tracking at the artifact level, eliminating the need for third-party applications.
• Knowledge graph: Links metadata to store relationships between data files, enhancing data management and understanding of programming design.