Changes

* Establish metrics for identified business outcomes throughout the lifecycle of an investment

* Establish metrics for identified business outcomes throughout the lifecycle of an investment

* Translate business outcomes and strategy into business capability implications in the GC Business Capability Model to establish a common vocabulary between business, development, and operation

* Translate business outcomes and strategy into business capability implications in the GC Business Capability Model to establish a common vocabulary between business, development, and operation

<b> Promote Horizontal Enablement of the Enterprise</b>

<b> Promote Horizontal Enablement of the Enterprise</b>

<span style="font-size: 1.5em;">[[GC_Information_Enterprise_Architecture| 2. Information Architecture]]</span> <br><br>

<span style="font-size: 1.5em;">[[GC_Information_Enterprise_Architecture| 2. Information Architecture]]</span> <br><br>

<I><u><b>Collect data to address the needs of the stakeholders</b>

* Ensure data is collected <I><u> responsibly and </I></u>in a manner that maximizes use, <I><u>reuse</I></u> and availability of data

* Adopt a needs-based approach to data collection

* Align to existing enterprise and international standards, <I><u> or where none exist, develop standards in the open with key subject matter experts </I></u>and consultation with Enterprise Data Community of Practice</u></I>

* <I><u>When collecting personal data or information, ensure that your practices are responsible and align with enterprise data ethics standards as well as relevant policy and legislation. The Policy Direction to Modernize the Government of Canada’s Sex and Gender Information Practices is an example of relevant policy that can inform considerations of gender diversity and inclusion. </I></u>

* Reuse existing data assets and only acquire new data if required

* Ensure collection methodology, including third party sources, yields high quality data

* <I><u>Engage with key stakeholders within the federal government, as well as provincial, territorial and </I></u> other levels of government, including indigenous people

* <I><u>Adopt a needs-based approach to data collection and review existing data assets prior to collecting or acquiring new data</i></u>

* <I><u>Ensure access and quality provisions are in place for data collected or acquired through third-party contracting services</I></u>

<b>Ensure that Data is Managed Responsibly and in a manner that Maximize Use, Reuse and Availability of Data</b></I></u>

 

<b>Manage data strategically and responsibly </b>

* Define and establish clear roles, responsibilities, and accountabilities for data management

* Identify and document the lineage of your data assets.

* Define and establish clear roles, responsibilities and accountabilities for data management

* Define retention and disposition schedule and perform regular disposition activities

*Ensure information and data are managed to enable interoperability, reuse and sharing to the greatest extend possible within and with other departments across the government to avoid duplication and maximize utility, while respecting security and privacy requirements

* Identify and document the lineage of the departmental data assets

* Contribute and/or aligned to Enterprise Data taxonomy and classification structure to manage, store, search and retrieve information and data in all formats

* Regularly assess the value of the departmental data assets and undertake retention and disposition as per existing schedules

 

* Only handle data which is essential to your service. Do not store all data that you capture unless absolutely necessary</i></u>

 

* Ensure data is stored in a secure manner in accordance with <I><u>CSE approved cryptographic algorithms and protocols and legislation such as</I></u> the Privacy Act

<b>Use and share data openly in an ethical and secure manner </b>

* <I><u>Manage departmental data in a way that enables interoperability, not only within the department, but also at the enterprise level</u></I>

* Ensure data formatting aligns to existing enterprise and international standards. Where none exist, develop standards in the open with key subject matter experts, in consultation with the Enterprise Data Community of Practice.

* Ensure that data is used in an Ethical and Secure manner

* Data should be shared openly by default as per the Directive on Open Government and adheres to existing enterprise and international standards, including on quality or fitness for purpose.

* Ensure that combined data does not risk identification or re-identification of sensitive or personal information

* Ensure that combined data does not risk identification or re-identification of sensitive or personal information

</I></u>

 

* Enable internal and external sharing of data and information as appropriate</I></u>

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