Challenges and Proposals in Data Governance for the Sidewalk Toronto Smart Cities Project

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Data governance challenges in the Sidewalk Toronto Smart Cities Project include overshadowing human dimensions with hi-tech/innovation, complications from the real-estate component, inherent governance problems due to mistrust in project conception, and inadequacies in law and policy infrastructure. Sidewalks Lab's proposal raises questions about creating a Civic Data Trust, its consistency with Canadian law, responsible data use guidelines, independent governance, and reconciliation with public sector data protection laws.


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  1. Data Governance & the Sidewalk Toronto Smart Cities Project TERESA SCASSA CANADA RESEARCH CHAIR IN INFORMATION LAW AND POLICY FACULTY OF LAW, UNIVERSITY OF OTTAWA MARCH 8, 2019

  2. Quayside and Waterfront Toronto 2 March 8, 2019

  3. Timeline RFP (March 17, 2017) and selection of successful bidder (October 2017) Framework Agreement (October 16, 2017) First Sidewalk Toronto Community Town Hall (November 2017) Sidewalk Toronto Public Roundtables (March 2018 to present) Creation of Waterfront Toronto Digital Strategy Advisory Panel (April 2018) PDA (July 31, 2018) Sidewalk Labs Digital Governance Proposals (October 2018) First Waterfront Toronto Civic Lab (November 23, 2018) MIDP First draft early 2019 3 March 8, 2019

  4. Data governance challenges Hi-tech/innovation dimensions of project completely overshadowed human dimensions Real-estate component remains a complicating factor Project conception bred mistrust and caused inherent governance problems Privacy by design approach was entire initial privacy response U.S./Canadian culture shock (?)/rejecting data colonialism (?) Inadequate law and policy infrastructure at provincial and federal levels in Canada 4 March 8, 2019

  5. Sidewalks Lab proposal: Civic Data Trust Promise Problem Civic Data Trust Data or Digital Trust? What is a civic data trust? Consistency with Canadian law? Who is responsible for creating it and who pays? To control collection and use of urban data ; possibly to host the data What is included/excluded from this definition? How to reconcile with public sector data protection laws? Responsible Data Use Guidelines Responsible Data Impact Assessment How can this be reconciled with the role of the public sector? Open by default Cost recovery or other model? Independent Governance Independent from whom? Who governs? On what terms? Set by who and how? Rules applicable to all parties collecting or using data in the physical environment in Quayside How are all parties defined? Government? Journalists? Researchers? Citizen science? Collection and use guided by a charter focused on benefits to the community Defined how and by whom? 5 March 8, 2019

  6. Urban data Defined by Sidewalk Labs as : data collected in a physical space in the city , including: Public spaces (streets, squares, plazas, parks and open spaces) Private spaces accessible to the public, such as building lobbies, courtyards, ground-floor markets, and retail stores Private spaces not controlled by those who occupy them (e.g. apartment tenants) Potentially hugely overinclusive (e.g.: why would security camera footage in a building lobby go into the data trust and be considered for reuse?) Potentially greatly underinclusive (e.g.: what infrastructure, utility or other data might have a broader public interest)? What underlies/motivates this conception of urban data ? 6 March 8, 2019

  7. Thank you! tscassa@uottawa.ca 7 March 8, 2019

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