Planning Vision - Bright Ideas
Datasets available for download
Additional Info
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Last Updated | May 7, 2025, 12:27 AM (UTC+00:00) |
Created | March 26, 2025, 1:02 AM (UTC+00:00) |
Domain / Topic
Domain or topic of the dataset being cataloged.
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Developments and infrastructure |
Description
A description of the dataset.
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Maps, Ideas and Stories provided through various public engagement events held by the Planning Vision team. What is the City doing? The City is developing a planning vision to bring together opportunities in the City’s key areas of focus and position Brampton as a future city and a hub for jobs and innovation. In other words, it aims to set Brampton apart from other suburban cities as a model city that people are proud to call home. The work focuses on understanding what Brampton can – and will be – in 25+ years, and how to get there. Why should it matter to me? Brampton has the right ingredients to be a future ready city. From a diverse, rapidly growing population, to a key position on the innovation super-corridor, we’ve got a lot going for us. We’re thinking bigger about our brilliant future – but to really be successful, we need your bright ideas. This is your city, and it’s important for us to know what its future looks like to you. You can always email us at brightideas@brampton.ca, or send us messages on Twitter or Facebook with any questions or comments you have. For data captured through the Bang the Table™ Web Site, visit the following. Terms and Conditions | Privacy Policy I keep hearing the term “future ready”, what does that mean? Moving Brampton forward to be a “future ready” city means thinking bigger about opportunities that fuel its vibrancy. It means thinking bigger about what Brampton will look like in 5, 10 and 25 years and beyond. Community input is critical – which is why we need you! |
Tags
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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.csv - text/csv, application/geo+json, application/vnd.shp, .kml - application/vnd.google-earth.kml+xml |
Dataset Size
Dataset size in megabytes.
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2 |
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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/datasets/brampton::planning-vision-bright-ideas/about?layer=0 |
Published Date
Published date of the dataset.
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2018-02-12 |
Time Period Data Span (start date)
Start date of the data in the dataset.
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2017-09-06 |
Time Period Data Span (end date)
End date of time data in the dataset.
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2017-11-03 |
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Brampton |
Field | Value |
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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Open |
License
License used to access the dataset.
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CC BY 4.0 License |
Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://services3.arcgis.com/rl7ACuZkiFsmDA2g/arcgis/rest/services/PlanningVisionBrightIdeas/FeatureServer |
Data Service
Data service for accessing a dataset.
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ArcGIS |
Owner
Owner of the dataset.
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BramptonMaps |
Contact Point
Who to contact regarding access?
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brightideas@brampton.ca |
Contact Point Email
The email to contact regarding access?
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gis@brampton.ca |
Publisher
Publisher of the dataset.
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City of Brampton |
Publisher Email
Email of the publisher.
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brightideas@brampton.ca |
Author
Author of the dataset.
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Brampton Maps |
Author Email
Email of the author.
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gis@brampton.ca |
Accessed At
Date the data and metadata was accessed.
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2025-03-25 |
Field | Value |
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Identifier
Unique identifier for the dataset.
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/datasets/brampton::planning-vision-bright-ideas/about?layer=0 |
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://services3.arcgis.com/rl7ACuZkiFsmDA2g/arcgis/rest/services/PlanningVisionBrightIdeas/FeatureServer |
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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Yes |
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://services3.arcgis.com/rl7ACuZkiFsmDA2g/arcgis/rest/services/PlanningVisionBrightIdeas/FeatureServer |
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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https://www.arcgis.com/home/item.html?id=33834f39ba9749bda65eb802d2eea402 |
Other versions
Link to datasets that are versions of it.
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https://geohub.brampton.ca/datasets/brampton::planning-vision-bright-ideas/explore?layer=1 |
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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Irregular |
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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esriMeters |
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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City |
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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439 |
Number of data columns
If tabular dataset, total number of unique columns.
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8 |
Number of data cells
If tabular dataset, total number of cells with data.
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3,512 |
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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