Standard Dataset Manager for Observational Medical Outcomes Partnership Common Data Model Sample D….

Eunomia

Eunomia is part of HADES.

Introduction

Eunomia is a standard dataset manager for sample OMOP (Observational Medical Outcomes Partnership) Common Data Model (CDM) datasets. Eunomia facilitates access to sample datasets from the EunomiaDatasets repository. Eunomia is used for testing and demonstration purposes, including many of the exercises in the Book of OHDSI. For functions that require schema name, use 'main'.

Features

• Download selected sample datasets from EunomiaDatasets repository, which includes a subset of the Standardized Vocabularies.
• Interfaces with the DatabaseConnector and SqlRender packages.
• No need to set up a database server. Eunomia runs in your R instance (currently using SQLite).
• (planned) supports for other databases

Example

library(Eunomia)
connectionDetails <- getEunomiaConnectionDetails()
connection <- connect(connectionDetails)
querySql(connection, "SELECT COUNT(*) FROM person;")
#  COUNT(*)
#1     2694

getTableNames(connection,databaseSchema = 'main')
disconnect(connection)

Technology

Eunomia is an R package providing access to sample datasets at EunomiaDatasets repository.

System Requirements

Requires R. Some of the packages required by Eunomia require Java.

Installation

1. See the instructions here for configuring your R environment, including Java.

2. In R, use the following commands to download and install Eunomia:

install.packages("Eunomia")

User Documentation

Documentation can be found on the package website.

PDF versions of the documentation are also available:

• Package manual: Eunomia.pdf

Support

• Developer questions/comments/feedback: OHDSI Forum
• We use the GitHub issue tracker for all bugs/issues/enhancements

License

Eunomia is licensed under Apache License 2.0

Development

Eunomia is being developed in R Studio.

Development status

Ready for use.