GC HR and Pay - Data Standards

Transforming human resources (HR) and pay for the Government of Canada into an integrated, flexible, and modern ecosystem is a complex challenge. To support these activities, the Human Capital Management (HCM) within Public Services and Procurement Canada (PSPC) is working to update processes, standards, and rules to govern HR and Pay data.

HR and Pay Data Standards will support trustworthy, high-quality data to easily move throughout the enterprise, as needed, enabling improved insights, decision-making, and more streamlined business processes. These Data Standards will focus on core employee data attributes within the Single Employee Profile (SEP), such as: first and last names, date of birth, first official language, preferred language, home address, mailing address, province of residence, marital status, personal contact information (email, phone), security clearance, PRI, sex at birth, and other important HR and Pay data.

These data standards are required above and beyond the GC enterprise data reference standards for the HR and Pay data domain. Progress in implementing these data standards is done through the Unified Actions for Pay (UAP) Measure 2.

Datasets available for download

Additional Info

Field	Value
Last Updated	October 20, 2025, 02:30 (UTC)
Created	October 20, 2025, 02:30 (UTC)
Domain / Topic Domain or topic of the dataset being cataloged.
Title Title for the Dataset.	GC HR and Pay - Data Standards
Description A description of the dataset.	Transforming human resources (HR) and pay for the Government of Canada into an integrated, flexible, and modern ecosystem is a complex challenge. To support these activities, the Human Capital Management (HCM) within Public Services and Procurement Canada (PSPC) is working to update processes, standards, and rules to govern HR and Pay data. HR and Pay Data Standards will support trustworthy, high-quality data to easily move throughout the enterprise, as needed, enabling improved insights, decision-making, and more streamlined business processes. These Data Standards will focus on core employee data attributes within the Single Employee Profile (SEP), such as: first and last names, date of birth, first official language, preferred language, home address, mailing address, province of residence, marital status, personal contact information (email, phone), security clearance, PRI, sex at birth, and other important HR and Pay data. These data standards are required above and beyond the GC enterprise data reference standards for the HR and Pay data domain. Progress in implementing these data standards is done through the Unified Actions for Pay (UAP) Measure 2.
Tags / Keywords Keywords/tags categorizing the dataset.	GC HR and Pay Government and Politics HR Human Resources Phoenix data employee information integrated strategy pay single employee profile standard
Format (CSV, XLS, TXT, PDF, etc) File format of the dataset.
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.	2025-03-21
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).
License License used to access the dataset.	Open Government Licence - Canada
Limits on use Limits on use of data.
Location Location of the dataset.	https://open.canada.ca/data/en/dataset/67c81048-e230-47f2-ad9a-38bc68f3b51e
Data Service Data service for accessing a dataset.
Owner Owner of the dataset.	Public Services and Procurement Canada \| Services publics et Approvisionnement Canada
Contact Point Who to contact regarding access?
Contact Point Email The email to contact regarding access?
Publisher Publisher of the dataset.
Publisher Email Email of the publisher.	[email protected]
Author Author of the dataset.
Author Email Email of the author.
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?
Portal Type Platform type of the source portal.

Field	Value
Version Version of the datatset	None
Source Source of the dataset.	None
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.

GC HR and Pay - Data Standards

Datasets available for download

Additional Info

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