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City of Ottawa: Community & Social Services - Coggle Diagram
City of Ottawa: Community & Social Services
Technologies
Data collection
iPads (respite centre)
Data storage
Third-party vendors
Nothing made in-house
Servers
Computers in service offices
Employees' personal computers
How are these databases able to "talk" to each other?
UI
Backend
Frontend
Data
Data becoming more important
Corporate
Women and gender equity strategy
Anti-Racism Secretariat
Gender, Race and Equity Baseline Study (GREBS)
Department as a whole (CSSD)
CSSD Data Strategy
Principles
Important connection to Indigenous communities
Corporate
Reconciliation Action Plan
Steps each department has committed to
Annual reporting on progress
In consultation with: Aboriginal Working Committee and Ottawa Aboriginal Coalition
Ottawa Aboriginal Coalition
Discrepancy in Indigenous population numbers
Data stored in various batabases
CS
Provincial database
Municipal database
ESS
Provincial database
Municipal databse
Concerns
Surveillance
Child welfare
Historic mistrust
Indigenous groups
Historic mistrust
Privacy
Creates more work
Data can be leveraged against departments (austerity)
How can AI and predictive tech be used to address customer issues?
Disaggregated equity data
Age
Gender identity
Orientation
Race
Address
Indigenous status
Immigration status
Languages
Marital status
Household size
Employment/income
Disability status
SPRA data anlysis
Descriptive
Explanatory
Predictive
Assemblage
Systems of thought
Equity data important
Data important
Some resistant to data practices
Forms of knowledge
Community-based
Quadrant model used by public health
Qualitative
Financial
Quantitative
Political
Finance
Concern of data supporting budget cuts
Pay for vendor databases
Budget from city
Political economy
Ethics
Data collection
Data storage
Policies
Women and Gender Equity Strategy
Anti-Racism Secretariat
CSSD Data strategy
Reconciliation Action Plan
Aboriginal Working Committee
Ottawa Aboriginal Coalition
Governmentalities and legalities
Nation-to-nation relations with Indigenous groups
Legal department
How to anonymize data once collected?
Review of surveys
Consent
Materialities and infrstructures
Surveys
iPads
Databases
Frontend UI
Backend UI
Practices
Indigenous knowledge production
Focus on equity and disaggregated data
Organizations and institutions
Indigenous organizations
Frontline departments
Partners from other cities and provinces
Community groups
Subjectivities and communities
Service provides
Service users
City staff
Citiens
Partner organizations
Indigenous partners
Places
Respite sites
Connecting with colleagues in other cities/provinces to collaborate
Unknown locations of vendor database storage
Service delivery sites
Marketplaces
Third-party vendors
Processes
Connecting with other departments
“There’s only so much silo you can break from bottom up”
Member of OMSSA
Environmental scans
Toronto
Edmonton
Vancouver
Other cities
Public health departments good at data collection
"We ask because we care" campaign
Staff training
How to collect data?
How to respect Indigenous data practices?
How to incorporate data across all departments?
Consent
Collaboration with legal department
Frontline workers
Respecting community-derived knowledge
Pausing process if not working
Respite centre survey
Visualization
Case studies
Respite Centres
Who exactly were they serving?
"Journey to collect basic demographic data"
Disaggregated equity data
Orientation
Race
Gender
Age
Outcome
Expected
4 minutes/survey
Actual
30-60 minutes/survey
Paused survey to reassess
CSSD Demographic Data Baseline Study
Analysis
Demographic data collected
Experiences of database users
Missing disaggregated demographic data
Disaggregated equity data
Age
Gender identity
Orientation
Race
Address
Indigenous status
Immigration status
Languages
Marital status
Household size
Employment/income
Disability status
Required to better provide services
Administrative databases
How are these databases able to "talk" to each other?
Who is accessing services?
How is client information being stored?