Documentation

Discover Linkr and launch your first project in minutes.

• What is Linkr?
• Deployment modes
• Quick start
• Local install +3
• Your first project

The key notions behind how Linkr is organised.

• Linkr in a clinical data warehouse
• Workspaces and projects
• The data pipeline
• Entities and sharing
• Versioning and collaboration

The shared container: projects, wiki, plugins, members and common resources.

• Overview
• Projects
• Wiki
• Plugins

• Members and roles
• Settings

Describe, load, align and check the data of a hospital warehouse.

• Schemas +2
• Databases
• Derived sub-databases
• Data quality

• Data catalog +2
• SQL script collections
• ETL pipelines +2

Link local codes to standard vocabularies (OMOP, SNOMED…).

• Overview
• Mapping projects
• Global view
• Target concepts

• Mapping editor
• Suggestions
• AI agent
• Evaluation
• Export

The unit of work: cohorts, patient data, datasets and code.

• Overview
• Databases
• Concepts
• Cohorts +2

• Patient data
• Pipeline
• Datasets
• IDE
• Web apps
• Versioning

Compose interactive dashboards from widgets to present results or run a monitoring programme.

• Overview
• Tabs and widgets
• Built-in widgets
• Analysis widgets

• Control charts (SPC)
• Surveys and eCRF
• R and Python code
• Filters, settings and export

Write a document mixing prose and live widgets, presentable and exportable.

• Overview
• Presentation mode
• Exporting a report

Agents acting on Linkr from LibreChat or OpenCode, the MCP server, skills and the choice of model.

• Agents
• MCP server
• Skills

Export, publish and reuse content across Linkr instances.

• Import and export
• Git versioning
• Community catalog
• Publishing content

Install, configure and operate a Linkr instance.

• Production install
• Configuration
• Authentication and permissions
• Files on the server
• Backup and restore

Install from source, work with branches and worktrees, use the skills.

• Contributing code