Emergency Shelter Stays of Single Individuals in Canadian Cities

the patterns of emergency shelter stays of single persons in three Canadian cities of different sizes (i.e., Toronto, Ottawa, and Guelph). Similar to findings of previous research conducted in large American cities in the early 1990s,

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Additional Info

Field Value
Last Updated August 11, 2024, 17:03 (UTC)
Created February 5, 2024, 16:56 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Homelessness
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.csv - text/csv
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.
2013-02-02
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.
Toronto, Guelph, Ottawa
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://www.tandfonline.com/doi/full/10.1080/02673037.2013.773585
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Tim Aubry (Centre for Research on Educational and Community Services & School of Psychology, University of Ottawa)
Contact Point
Who to contact regarding access?
taubry@uottawa.ca
Publisher
Publisher of the dataset.
Housing Studies
Publisher Email
Email of the publisher.
taubry@uottawa.ca
Author
Author of the dataset.
Tim Aubry, Susan Farrell, Stephen W, Melissa Calhoun
Author Email
Email of the author.
taubry@uottawa.ca
Accessed At
Date the data and metadata was accessed.
2024-02-05
Field Value
Identifier
Unique identifier for the dataset.
https://doi.org/10.1080/02673037.2013.773585
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://www.tandfonline.com/doi/full/10.1080/02673037.2013.773585
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Yes
Contains data about individuals
Does the data hold data about individuals?
Yes
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Yes
Contains Indigenous Data
Does the data hold data about Indigenous communities?
No
Field Value
Source
Source of the dataset.
https://www.tandfonline.com/doi/full/10.1080/02673037.2013.773585
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
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.
City
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.
35
Number of data columns
If tabular dataset, total number of unique columns.
5
Number of data cells
If tabular dataset, total number of cells with data.
136
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
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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