Datalad — data management and distribution suite: Documentation

• Getting started
• Change log
• Acknowledgments

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
  • API principles
• Data management use cases
  • A typical data management workflow
  • Creating a “new” derived dataset for Nipype workshop
• Meta data
  • Overview
  • Sample datasets with meta data
  • Supported meta data formats
• Customization and extension of functionality
  • Writing own plugins
• Frequently asked questions
• Glossary

Commands and API

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

Automated data distributions

• Automatic creation and maintenance of datasets by crawling external resources
  • DataLad Crawler 101

Indices and tables

• Index
• Module Index
• Search Page