Wood Buffalo PIT-Homelessness-Count-Key-Findings---2022
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Wood Buffalo PIT-Homelessness-Count-Key-Findings-2022PDF
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Additional Info
Field | Value |
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Last Updated | December 6, 2024, 15:07 (UTC) |
Created | January 22, 2024, 02:45 (UTC) |
Domain / Topic
Domain or topic of the dataset being cataloged.
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Homelessness |
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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.pdf - application/pdf |
Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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Time Period Data Span (start date)
Start date of the data in the dataset.
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2022-01-01 |
Time Period Data Span (end date)
End date of time data in the dataset.
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2022-12-31 |
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Wood Buffalo |
Field | Value |
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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Open |
Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://www.rmwb.ca/en/community-services-and-social-support/resources/PIT-Homelessness-Count---Key-Findings---2022.pdf |
Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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The Canadian Observatory on Homelessness |
Contact Point
Who to contact regarding access?
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https://preventhomelessness.ca/contact/ |
Publisher
Publisher of the dataset.
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The Homeless Hub |
Publisher Email
Email of the publisher.
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thehub@edu.yorku.ca |
Author
Author of the dataset.
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Regional Municipality of Wood Buffalo |
Accessed At
Date the data and metadata was accessed.
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2024-01-21 |
Field | Value |
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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English |
Link to dataset description
A URL to an external document describing the dataset.
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https://www.rmwb.ca/en/community-services-and-social-support/resources/PIT-Homelessness-Count---Key-Findings---2022.pdf |
Persistent Identifier
Data is identified by a persistent identifier.
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Yes |
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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No |
Contains data about individuals
Does the data hold data about individuals?
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No |
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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No |
Contains Indigenous Data
Does the data hold data about Indigenous communities?
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No |
Field | Value |
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Source
Source of the dataset.
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https://www.rmwb.ca/en/community-services-and-social-support/resources/PIT-Homelessness-Count---Key-Findings---2022.pdf |
Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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https://www.homelesshub.ca/community-profile/wood-buffalo |
Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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Annually |
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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N/A |
Field | Value |
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Field | Value |
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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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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