Multimodal Safety and Security Programs Oversight Delivery Indicators, by federal government fiscal year quarter, Transport Canada
Datasets available for download
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Multimodal Safety and Security Programs...CSV
As part of the Transport Canada Multimodal Safety and Security Programs...
Additional Info
| Field | Value |
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| Last Updated | August 20, 2024, 01:24 (UTC) |
| Created | April 21, 2023, 20:24 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Transportation |
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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.csv - text/csv |
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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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2017-01-01 |
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Time Period Data Span (end date)
End date of time data in the dataset.
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2022-12-31 |
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Canada |
| Field | Value |
|---|---|
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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Open |
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Limits on use
Limits on use of data.
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cite: Statistics Canada. Table 23-10-0268-01 Multimodal Safety and Security Programs Oversight Delivery Indicators, by federal government fiscal year quarter, Transport Canada |
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Location
Location of the dataset.
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https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=2310026801 |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Contact Point
Who to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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| Author
Author of the dataset.
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Statistics Canada |
| Author Email
Email of the author.
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infostats@statcan.gc.ca |
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Accessed At
Date the data and metadata was accessed.
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2023-04-21 |
| 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 |
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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No |
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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No |
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Contains data about individuals
Does the data hold data about individuals?
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No |
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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No |
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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N/A |
| Field | Value |
|---|---|
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Source
Source of the dataset.
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https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=2310026801 |
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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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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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Quarterly |
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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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Country |
| 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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Machine readable |
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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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