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| * Ensure accountability for privacy is clear | | * Ensure accountability for privacy is clear |
| * Encourage and adopt <u><i>a process (for example:</i></u> Test Driven Development (TDD)) to improve the trust between Business and IT | | * Encourage and adopt <u><i>a process (for example:</i></u> Test Driven Development (TDD)) to improve the trust between Business and IT |
| + | * <u><I> Ensure that gender diversity and inclusion is considered as part of an intersectional approach to designing for users. Consult the Policy Direction to Modernize the Government of Canada’s Sex and Gender Information Practices and best practices for gender inclusive language. (Would note here that there are likely other examples of best practices that could be included such as positive space exemplars, but nothing else is springing to mind at the moment!) </I></u> |
| | | |
| <b>Design Systems to be Measurable and Accountable</b> | | <b>Design Systems to be Measurable and Accountable</b> |
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| * Ensure data is collected in a manner that maximizes use and availability of data | | * Ensure data is collected in a manner that maximizes use and availability of data |
| * Ensure data collected aligns to existing enterprise and international standards | | * Ensure data collected aligns to existing enterprise and international standards |
| + | * <I><u>Ensure that gender diversity and inclusion is considered according to the Policy Direction to Modernize the Government of Canada’s Sex and Gender Information Practices. The government is moving toward defaulting to gender, sex by exception, and adding a third gender option in a respectful and inclusive manner. This involves making changes in the front end (collection) and the back end (coding, display). For collecting information, the recommended approach is to offer the options “male”, “female” or the third option of “another gender”. If there is a need for more specificity and the capacity for analysis, add a write in option labelled “Please Specify”. </I></u> |
| * Where enterprise or international standards don't exist, develop Standards in the open with key subject matter experts | | * Where enterprise or international standards don't exist, develop Standards in the open with key subject matter experts |
| * Ensure collection of data yields high quality data as per data quality guidelines | | * Ensure collection of data yields high quality data as per data quality guidelines |