Expipe

Expipe manages experimental neuroscience data and metadata to organize datasets, enable metadata queries without downloading complete datasets, and support exploration and downstream analysis across diverse acquisition techniques and spatiotemporal scales.

Key Features:

• Data and metadata storage: Efficient storage and organization of experimental data and associated metadata for retrieval across the experimental pipeline.
• Metadata querying: Query metadata collections without requiring download of complete datasets.
• Flexible metadata specifications: User-definable and modifiable metadata specifications to adapt to evolving experimental paradigms.
• Support for multi-modal datasets: Facilitates handling of data from diverse acquisition techniques and multiple spatiotemporal scales.
• Provenance and reproducibility: Enables tracking of data provenance and supports reproducibility and data sharing within projects.

Scientific Applications:

• Large-scale neuroscience data management: Organizing and querying large volumes of experimental neuroscience data.
• Multi-modal experimental workflows: Managing datasets from multiple acquisition techniques and spatiotemporal scales.
• Data exploration and analysis: Enabling discovery and retrieval of data for downstream analysis throughout the experimental pipeline.
• Provenance, reproducibility and sharing: Supporting metadata-based provenance tracking and project-level data sharing.

Methodology:

Stores and organizes experimental data and associated metadata, supports metadata-only queries without downloading full datasets, and allows users to define and modify metadata specifications.