Unique, normalized, name of dataset. To view the dataset page in the Open Data Portal go to: https://open.toronto.ca/dataset/<package>/

Score for the degree to which data is easy to access, from 1 (high) to 0 (low). A score of 0.5 means the data can be accessed directly via API because it is in the datastore after being loaded from a file, whereas 1 means it is accessible via API and loaded to the datastore directly from the source system.

Score for how much of the data is missing, ranging from 1 (high) to 0 (low). Higher scores mean fewer missing values.

Score for how up to date the data is, ranging from 1 (high) to 0 (low). The smaller the duration gaps between collection and publication, and between stated refresh rate and time last refresh, the higher the score.

Score for how complete optional metadata fields are (Collection Method, Limitations, Topics, Contact Email) are, ranging from 1 (high) to 0 (low). Higher scores mean more optional metadata fields filled.

Score for how easy it is to work with the data, ranging from 1 (high) to 0 (low). Determined by portion of meaningful column names and, for geospatial data only, portion of valid geometries.

Summary of accessibility, completeness, freshness, metadata, and usability scores into a single score. Weights determined via rank weighting.

Score scaled from 0 to 1.

Bronze, Silver, Gold badge using the score column.

Bronze, Silver, Gold badge using the score_norm column. This is the actual value displayed on the dataset page for data quality score.

Date and time the dataset was scored.

Version of the algorithm used to calculate the score.

1. CSV
2. XML
3. JSON