NDI

NDI provides a platform-independent interface to access and manipulate neuroscience primary data, results, and software to facilitate collaboration and data sharing across laboratories.

Key Features:

• Platform Independence: Operates independently of raw data formats and file organization to integrate diverse experimental setups and computational environments.
• Standardized Vocabulary: Employs a standardized vocabulary describing common apparatus and storage devices used in neuroscience experiments to ensure consistent terminology and metadata.
• Scalable Database: Uses a scalable, queryable database to store analysis results and meta-analyses while maintaining relationships and history among experimental elements and documents.

Scientific Applications:

• Collaborative Data Sharing: Enables exchange and joint analysis of primary data, results, and software among neuroscience laboratories via a common interface.
• Reproducibility and Transparency: Supports reproducible research and transparent reporting by preserving analysis results, metadata, and the relationships and history among experimental elements and documents.
• Curating Searchable Archives: Facilitates curation of neuroscience datasets into searchable archives for future reference and meta-analyses.

Methodology:

Implements a standardized interface that abstracts diverse raw data formats and file organizations to form an abstraction layer enabling an application ecosystem of software tools to perform calculations without dependence on underlying data structures, and employs a scalable, queryable database to store analysis results, meta-analyses, and to maintain relationships and history among experimental elements and documents.