DataLad — data management and publication multitool: Documentation

• Getting started
• Change log
• Acknowledgments
• Publications

Concepts and technologies

• Background and motivation
  • Vision
  • Technological foundation: git-annex
  • Objective
• Delineation from related solutions
  • Data catalogs
  • Data delivery/management middleware
  • Git/Git-annex/DataLad
• Basic principles
  • Datasets
  • Basic command line usage
  • API principles
• Data management use cases
  • Basic provenance tracking
  • A typical collaborative data management workflow
• Metadata
  • Overview
  • Supported metadata sources
  • Metadata aggregation and query
  • Internal metadata representation
  • Vocabulary
• Customization and extension of functionality
  • Plugins
  • Extension packages
• Glossary

Commands and API

• Command line reference
  • Main command
  • Dataset operations
  • Metadata handling
  • Reproducible execution
  • Miscellaneous commands
  • Plugin commands
  • Plumbing commands
• Python module reference
  • High-level user interface
  • Support functionality
  • Configuration management
  • Test infrastructure
  • Command line interface infrastructure
• Configuration
  • Global user configuration
  • Local repository configuration
  • Sticky dataset configuration
  • Miscellaneous configuration

Extension packages

DataLad can be customized and additional functionality can be integrated via extensions. Each extension provides its own documentation:

• Crawling web resources and automated data distributions
• Neuroimaging data and workflows
• Containerized computational environments
• Advanced metadata tooling with JSON-LD reporting and additional metadata extractors

Indices and tables

• Index
• Module Index
• Search Page