Data Model-Based Ingestion Pipeline (dm-bip)

dm-bip is a data ingestion pipeline that uses LinkML tools to transform tabular scientific data into a harmonized data model. It infers schemas from source data, validates against those schemas, and transforms data to a target model using declarative mapping specifications.

Currently used by the BioData Catalyst Data Management Core and the INCLUDE project.

Getting Started

See the installation guide, or the README for a quick start.

Contents

• Installation
• Pipeline User Guide
• Schema Automator