Planning Vision - Bright Ideas

The dataset titled "Planning Vision - Bright Ideas" falls under the domain of Developments and Infrastructure. It is tagged with keywords such as Housing Potential, Public Building, and Urban Planning. The dataset is available in various formats including CSV, SHP, GeoJSON, and KML. It is a relatively small dataset with a size of 2 MB. The dataset was published on February 12, 2018, and covers the time period from September 6, 2017, to November 3, 2017. The geographical area covered by the dataset is Brampton. The dataset is open for access and is located on the ArcGIS data service. The owner of the dataset is BramptonMaps and the point of contact for access is brightideas@brampton.ca.

The dataset was authored by Brampton Maps and was last accessed on March 25, 2025. The dataset is identified by a persistent and globally unique identifier. It does not contain data about individuals or indigenous communities. The dataset is a version of another dataset and has other versions available. The dataset has an irregular temporal resolution and its geospatial resolution is in meters and covers the city region. The dataset consists of 439 rows, 8 columns, and 3,512 data cells. The dataset is owned by the City of Brampton and provides maps, ideas, and stories from various public engagement events held by the Planning Vision team. The dataset is licensed under the CC BY 4.0 License.

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Additional Info

Field Value
Last Updated March 31, 2025, 1:14 PM (UTC+00:00)
Created March 26, 2025, 1:02 AM (UTC+00:00)
Domain / Topic
Domain or topic of the dataset being cataloged.
Developments and infrastructure
Description
A description of the dataset.

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.

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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.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.csv - text/csv, application/vnd.shp, application/geo+json, .kml - application/vnd.google-earth.kml+xml
Dataset Size
Dataset size in megabytes.
2
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
/datasets/brampton::planning-vision-bright-ideas/about?layer=0
Published Date
Published date of the dataset.
2018-02-12
Time Period Data Span (start date)
Start date of the data in the dataset.
2017-09-06
Time Period Data Span (end date)
End date of time data in the dataset.
2017-11-03
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Brampton
chatgpt_summary The dataset titled "Planning Vision - Bright Ideas" falls under the domain of Developments and Infrastructure. It is tagged with keywords such as Housing Potential, Public building, and Urban planning. The dataset is available in multiple formats including CSV, SHP, GeoJSON, and KML. It is a relatively small dataset with a size of 2 MB. The dataset was published on 12th February 2018 and covers the time period from 6th September 2017 to 3rd November 2017. The geospatial data in the dataset spans the area of Brampton. The dataset is open for access and is located on the ArcGIS data service. The owner of the dataset is BramptonMaps and the point of contact for access is brightideas@brampton.ca. The dataset was published by the City of Brampton and the author is Brampton Maps. The dataset was last accessed on 25th March 2025. The dataset is identified by a persistent and globally unique identifier. It does not contain data about individuals, identifiable individuals, or Indigenous communities. The dataset is a version of another dataset and has other versions available. The temporal resolution of the dataset is irregular and the geospatial resolution is in meters and regions. The dataset contains 439 rows, 8 columns, and 3,512 data cells. The dataset is owned by the City of Brampton and provides maps, ideas, and stories from various public engagement events held by the Planning Vision team. The dataset is licensed under the CC BY 4.0 License.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
License
License used to access the dataset.
CC BY 4.0 License
Limits on use
Limits on use of data.
Location
Location of the dataset.
Brampton
Data Service
Data service for accessing a dataset.
ArcGIS
Owner
Owner of the dataset.
BramptonMaps
Contact Point
Who to contact regarding access?
brightideas@brampton.ca
Contact Point Email
The email to contact regarding access?
gis@brampton.ca
Publisher
Publisher of the dataset.
City of Brampton
Publisher Email
Email of the publisher.
brightideas@brampton.ca
Author
Author of the dataset.
Brampton Maps
Author Email
Email of the author.
gis@brampton.ca
Accessed At
Date the data and metadata was accessed.
2025-03-25
Field Value
Identifier
Unique identifier for the dataset.
/datasets/brampton::planning-vision-bright-ideas/about?layer=0
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://services3.arcgis.com/rl7ACuZkiFsmDA2g/arcgis/rest/services/PlanningVisionBrightIdeas/FeatureServer
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?
No
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
No
Contains Indigenous Data
Does the data hold data about Indigenous communities?
No
Field Value
Source
Source of the dataset.
https://services3.arcgis.com/rl7ACuZkiFsmDA2g/arcgis/rest/services/PlanningVisionBrightIdeas/FeatureServer
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
https://www.arcgis.com/home/item.html?id=33834f39ba9749bda65eb802d2eea402
Other versions
Link to datasets that are versions of it.
https://geohub.brampton.ca/datasets/brampton::planning-vision-bright-ideas/explore?layer=1
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.
Irregular
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
esriMeters
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.
439
Number of data columns
If tabular dataset, total number of unique columns.
8
Number of data cells
If tabular dataset, total number of cells with data.
3,512
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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