Overview

MORIE ships a portable SQLite layer with dozens of built-in datasets covering Canadian carceral, police, oversight, and public- health surveillance corpora. This vignette shows how to discover and load them from R.

Browsing the catalogue

library(morie)
catalog <- morie_dataset_catalog()
head(catalog)

Each row of the returned data frame describes one dataset: identifier (e.g.\u00a0otis-2025, cpads-2122), source, year, number of rows, and a short description.

Per-dataset detail

morie_dataset_info("cpads-2122")

morie_dataset_info() returns a list with the variable names, labels, value codes, citation, and any data-acknowledgment disclaimer required by the original publisher.

Loading data

df <- morie_load_dataset("cpads-2122")
dim(df)

morie_load_dataset() returns a tibble. Public-use datasets shipped inside the package require no further configuration.

Configuring local + remote backends

For datasets backed by external SQLite mirrors:

Set MORIE_LOCAL_DB_DIR to a directory of .sqlite files for fast offline access.
Set MORIE_REMOTE_URL to an HTTP SQL-over-REST endpoint for network-only exploration.

Statistics Canada / Health Canada data acknowledgment

Several datasets in the catalogue are derived from Statistics Canada and Health Canada PUMFs (CCS, CSADS, CSUS, CADS, CPADS). The standard disclaimer applies: although the analyses use Statistics Canada / Health Canada data, the analyses, interpretations, and conclusions are those of the analyst and do not represent the views of either agency.

Where to go next

The intro vignette uses morie_load_dataset() end-to-end.
The cpads-canonicalization vignette covers the CPADS column contract and canonicalize_cpads_data() helpers.