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GC Enterprise Architecture/Framework (view source)
Revision as of 10:19, 15 January 2020
, 10:19, 15 January 2020no edit summary
The draft list of questions associated with the new standards can be found [[EA Assessments Questions|here]] <br><br>
The draft list of questions associated with the new standards can be found [[EA Assessments Questions|here]] <br><br>
The GC Enterprise Architecture standard is part of the [https://www.tbs-sct.gc.ca/pol/doc-eng.aspx?id=15249 Directive on Management of Information Technology]. It is listed as [https://www.tbs-sct.gc.ca/pol/doc-eng.aspx?id=15249 Appendix C - Mandatory Procedures for Enterprise Architecture Assessment] in the Directive.
The GC Enterprise Architecture standard is part of the [https://www.tbs-sct.gc.ca/pol/doc-eng.aspx?id=32601 Directive on Service and Digital]. It is listed as [https://www.tbs-sct.gc.ca/pol/doc-eng.aspx?id=32602 Appendix A - Mandatory Procedures for Enterprise Architecture Assessment] in the Directive.
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<b>Use and share data openly in an ethical and secure manner </b>
<b>Use and share data openly in an ethical and secure manner </b>
* Data should be shared openly by default as per the Directive on Open Government and Digital Standards, while adhering to existing enterprise and international standards, including on fitness for purpose and ethics
* Data should be shared openly by default as per the [https://www.tbs-sct.gc.ca/pol/doc-eng.aspx?id=28108 Directive on Open Government and Digital Standards], while adhering to existing enterprise and international standards, including on fitness for purpose and ethics
* 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 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 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
