quality-scores-explanation-codes-and-scores
URL: https://ckan0.cf.opendata.inter.prod-toronto.ca/datastore/dump/6d999ad7-d83c-4515-afc7-cae7ea85a1a8
Dataset description:
The Data Quality Score reflects, in the form of a Gold, Silver or Bronze badge, how valuable a dataset is based on a set of characteristics that increase its potential to be used for...
Source: Catalogue quality scores
Data Dictionary
Column | Type | Label | Description |
---|---|---|---|
package | text | Unique, normalized, name of dataset. |
|
resource | text | Unique data file of dataset page. |
|
usability | float8 | Score for how easy it is to work with the data. Determined by portion of meaningful column names, column(s) contain constant values. |
|
usability_code | text | Explanation of known issues for usability dimension. |
|
metadata | float8 | Score for how complete metadata fields are (Description, Limitations, Topics, Contact Email) are, Higher scores mean more metadata fields filled. |
|
metadata_code | text | Explanation of known issues for metadata dimension. |
|
freshness | float8 | Score for how up to date the data is. The smaller the duration gaps between stated refresh rate and time last refresh, the higher the score. |
|
freshness_code | text | Explanation of known issues for freshness dimension. |
|
completeness | float8 | Score for how much of the data is missing. Determined by if more than half of the values in this dataset is missing. |
|
completeness_code | text | Explanation of known issues for completeness dimension. |
|
accessibility | float8 | Score for the degree to which data is easy to access. Determined by if the data can be accessed directly via API, any tags/keywords on the dataset, any automated data pipeline set up with open data. |
|
accessibility_code | text | Explanation of known issues for accessibility dimension. |
|
store_type | text | Data file resource is stored as ckan datastore or filestore. |
|
division | text | Data publisher division |
|
score | text | Summary of accessibility, completeness, freshness, metadata, and usability scores into a single score. Weights determined via rank weighting. |
|
grade | text | Bronze, Silver, Gold badge using the score column. |
|
recorded_at | timestamp | Timestamp the dataset was scored. |
Additional Information
Field | Value |
---|---|
Data last updated | August 17, 2023 |
Metadata last updated | May 9, 2025 |
Created | August 17, 2023 |
Format | CSV |
License | License not specified |
Datastore active | True |
Datastore cache | {'CSV': '38f2dcca-0d40-470a-a5e9-0d15a6565eef', 'XML': 'dd3a05af-b9b1-4115-b1b2-abd3e1415325', 'JSON': 'b5d0de41-af0b-4a7f-8918-bfe7cdcad764'} |
Datastore cache last update | 4 hours ago |
Extract job | Airflow: catalogue-quality-scores |
Has views | True |
Id | 6d999ad7-d83c-4515-afc7-cae7ea85a1a8 |
Is preview | True |
Package id | 473def30-1c87-45f1-95c4-06b9bf693fec |
Package name or id | catalogue-quality-scores |
Position | 0 |
State | active |
Url type | datastore |
Extract Job | Airflow: catalogue-quality-scores |
Is Datastore Cache File? | |
Datastore Cache |
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Datastore Cache Last Updated | |
Datastore resource's ID |