Open Government Staff Survey

In January 2015, the City's Open Government Committee - senior staff who promote an organizational culture of greater collaboration and openness - organized an internal Open Government Survey for the Toronto Public Service. The purpose of the survey was to learn how City staff viewed Open Government and discover their thoughts and stories about "opening up" government. The honest assessment provided by City staff would enable the committee to set priorities and focus on things that would help Toronto achieve the City's Strategic Action #13 Open Government by Design.

Comment:

The data represented here was provided only by a subset of City staff. Personal and identifiable information was removed in accordance with privacy standards.

The City is committed to 'opening up government'. Open Government is about ensuring access to timely, reliable and relevant information which enables the public to choose when and how to use City services or engage in policy decision-making. Being transparent about what the City does demonstrates accountability. Being open builds public trust and confidence in government.

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.
2019-07-23
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/open-government-staff-survey
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
City Clerk's Office, opendata@toronto.ca
Contact Point
Who to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
opendata@toronto.ca
Author
Author of the dataset.
opendata@toronto.ca
Author Email
Email of the author.
opendata@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/city-government/
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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