Special Committee on Governance -- Public Consultation on Governance and Decision Making -- Survey #1

The Special Committee on Governance was established by City Council at its meeting on December 4, 2018, to consider the impacts on the City's governance structures and decision-making processes that resulted from the reduction in the size of Council.

In keeping with a work plan and engagement strategy approved by the Special Committee on Governance, City staff conducted public consultations. The responses from a survey, open to the public from June 1 until July 27, 2019, are included in this data set. The survey was broadly advertised and accessible on the www.toronto.ca/TOgovernance website.

In the survey, respondents were asked what was working and what needed improvement with respect to Council's decision-making bodies and processes, as well as city-led and community-led civic engagement processes. The survey included multiple-choice and open-ended questions.

Additional information is available as part of the public consultations for the Special Committee on Governance, including:

"Special Committee on Governance -- Public Consultations on Civic Governance and decision making" is a data set which contains the notes gathered from five consultations held from June 10-17, 2019, in civic centres across Toronto to better understand the public’s perspective on the City’s decision-making structures and processes. The data set also includes responses from a dedicated discussion with participants of the City's Neighbourhood Improvement Area (NIA) Planning Tables held on July 24, 2019.

GV4.2 (September 11, 2019) "Report from the City Manager on Special Committee on Governance: Public Consultation and Work Plan Update" http://www.toronto.ca/legdocs/mmis/2019/gv/bgrd/backgroundfile-137449.pdf

GV4.2 Attachment 1 – "Details on Public Engagement Activities" http://www.toronto.ca/legdocs/mmis/2019/gv/bgrd/backgroundfile-137468.pdf

In addition, Special Committee on Governance asked staff to provide targeted engagement opportunities for neighbourhood associations across Toronto. The "Summary of Input from Neighbourhood Associations to the Special Committee on Governance" can be found here: https://www.toronto.ca/special-committee-on-governance-consultations/

"Workshop with Neighbourhood Associations" is a data set of responses gathered from two table exercises conducted at a workshop with neighbourhood associations held from 6:30-8:30 pm at Metro Hall on October 1, 2019.

Related Catalogue Entries:

Datasets available for download

Additional Info

Field Value
Last Updated October 4, 2024, 04:49 (UTC)
Created October 4, 2024, 02:38 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
City government
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.xlsx - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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.
2020-01-24
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.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://open.toronto.ca/dataset/public-consultation-on-governance-and-decision-making-survey-1
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Strategic & Corporate Policy, Brendan.Nolan@toronto.ca
Contact Point
Who to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
Brendan.Nolan@toronto.ca
Author
Author of the dataset.
Brendan.Nolan@toronto.ca
Author Email
Email of the author.
Brendan.Nolan@toronto.ca
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Field Value
Source
Source of the dataset.
https://www.toronto.ca/special-committee-on-governance-consultations/
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.
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.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
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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