Unified: Toronto Public Library Branch Locations

The dataset titled "Unified: Toronto Public Library Branch Locations" is owned by the Urban Data Research Centre. It is a retired dataset that previously provided information about the locations of library branches within the geographical boundaries of the City of Toronto. The dataset was maintained by the Toronto Public Library planning department, which communicated any changes to the E-Services department to keep the location information up-to-date on the library's website. However, more current information on this subject can now be found on a newer open data page.

The dataset does not have any specified tags or license. It also does not contain any resources, as represented by the empty Python list. The metadata for this dataset was created on October 22, 2024, and was last modified on April 10, 2025. Despite its retirement, the dataset serves as a historical record of the library branches' locations within the City of Toronto.

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Additional Info

Field Value
Last Updated April 10, 2025, 19:14 (UTC)
Created October 22, 2024, 13:53 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Description
A description of the dataset.

This dataset is retired. More up to date information on this subject can be found on this newer open data page

The locations of the existing library branches within the City of Toronto.

The data is limited to the geographical boundaries of the City of Toronto. The Toronto Public Library planning department is responsible for tracking the library branches and through their process communicate to the E-Services department changes that occur so that location information can be up-to-date on the library's website.
Format (CSV, XLS, TXT, PDF, etc)
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Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Limits on use
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Location
Location of the dataset.
Data Service
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Owner
Owner of the dataset.
Contact Point
Who to contact regarding access?
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
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Persistent Identifier
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Version notes
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Is version of another dataset
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Other versions
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Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
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Number of data relations
If RDF dataset, total number of triples.
Number of entities
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

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