2023 Service Business Plans - Enabling Services
City of Burlington Service Delivery Plans help us plan and prioritize services according to community needs to bring you the most value for your tax dollars. Each year, service delivery plans are reviewed and adjusted by the Service Leads.
Service Business Plans include how much money is invested into each service, the scope of the service area and the service delivery expectations, annual objectives, initiatives and how effectively and efficiently we have delivered each service. The goal is to ensure that the community is getting the best value and service for their municipal tax dollars. There are 37 service areas in the City of Burlington, these include enabling and governing services as well as the services delivered directly to the community and customers. Service areas are aligned to the City’s Vision 2040 strategic priority areas – A City that Grows, A City that Moves, An Engaging City, A Safe City and A Healthy and Greener City.
Contained in this zipped folder are the service delivery plans for "Enabling Services” (Asset Management 2023, Customer Experience 2023, Facilities and Buildings - Design and Construction 2023, Financial Management 2023, Fleet Management 2023, Geographic Information and Mapping 2023, Human Resources 2023, Information Technology 2023, Sign Production Service 2023)
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Additional Info
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| Last Updated | June 16, 2026, 18:30 (UTC) |
| Created | June 16, 2026, 18:30 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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2023 Service Business Plans - Enabling Services |
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Description
A description of the dataset.
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City of Burlington Service Delivery Plans help us plan and prioritize services according to community needs to bring you the most value for your tax dollars. Each year, service delivery plans are reviewed and adjusted by the Service Leads. Service Business Plans include how much money is invested into each service, the scope of the service area and the service delivery expectations, annual objectives, initiatives and how effectively and efficiently we have delivered each service. The goal is to ensure that the community is getting the best value and service for their municipal tax dollars. There are 37 service areas in the City of Burlington, these include enabling and governing services as well as the services delivered directly to the community and customers. Service areas are aligned to the City’s Vision 2040 strategic priority areas – A City that Grows, A City that Moves, An Engaging City, A Safe City and A Healthy and Greener City. Contained in this zipped folder are the service delivery plans for "Enabling Services” (Asset Management 2023, Customer Experience 2023, Facilities and Buildings - Design and Construction 2023, Financial Management 2023, Fleet Management 2023, Geographic Information and Mapping 2023, Human Resources 2023, Information Technology 2023, Sign Production Service 2023) |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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4882.17 |
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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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2026-04-13 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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public |
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License
License used to access the dataset.
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License not specified |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://navburl-Burlington.opendata.arcgis.com/datasets/Burlington::2023-service-business-plans-enabling-services |
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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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GISCOB |
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Contact Point
Who to contact regarding access?
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City of Burlington |
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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City of Burlington |
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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GISCOB |
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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2026-04-13 |
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Identifier
Unique identifier for the dataset.
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210e4bc5ae994c23945fbb33433a21e0 |
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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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https://navburl-Burlington.opendata.arcgis.com/datasets/Burlington::2023-service-business-plans-enabling-services |
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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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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City of Burlington |
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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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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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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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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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