UofT’s Institutional Data Strategy

The University of Toronto’s Institutional Data Strategy (IDS) articulates University’s data and analytics priorities. Initiatives under the umbrella of the IDS will be tied to improving institutional performance and outcomes (e.g. student success, research productivity, operational excellence), while incrementally introducing new data technologies, processes and/or policies to support those initiatives.  As initiatives are developed and evolve – whether at the University or unit level – the IDS will provide the overarching framework to guide institutional investments and priority setting in the areas of data governance, reporting and analytics, tools and technologies, communication, and training.  The strategy will also aim to build productive synergies between units, increasing our overall analytics output while realizing efficiencies and consistencies for the University at large.

 

The IDS identifies five strategic goals as shown below:

Institutional data and analytics services will produce high quality and trusted data.

We will aim to:

  • Manage and value our data as institutional assets
  • Provide curated ‘analytics-ready’ institutional data sets for broad use by units
  • Inform decision-making using the highest quality, fit-for-purpose data
  • Provide metadata to ensure that data meaning is consistent across the institution

Institutional data will be shared appropriately and securely across the University and with our partners (includes researchers, vendors, government) to inform decision-making.

We will aim to:

  • Ensure processes and criteria for accessing institutional data are transparent, consistent, and equitable
  • Apply security controls to ensure people have appropriate access to the right data
  • Ensure data are accessible to authorized users when and where required
  • Implement auditing processes to monitor access to and uses of data

The University will adopt advances in data and analytics technologies and capabilities to meet its current and future needs.

We will aim to:

  • Evaluate new and updated technologies in terms of their feasibility and scalability to support units’ data and analytics requirements
  • Realize institutional efficiencies through collective acquisition and access to institution-wide tools (e.g., storage/integration, reporting, business intelligence, analytics)
  • Align data and analytics technology requirements with the University’s broader IT strategy

The University will empower its data community with the tools and the means to enable them to actively contribute to the changes needed to realize effective data-informed decision-making.

We will aim to:

  • Encourage and recognize data-informed decision-making for strategic and operational purposes
  • Formally engage our data and analytics community to promote sharing of knowledge and establish common data and analytics solutions and standards
  • Implement institutional learning and development opportunities to improve data literacy across the spectrum of data and analytics-related roles
  • Design our data and analytics operating model such that staffing, and services are optimized to support divisional partners in achieving their goals through the better use of data

The University will foster the trust of all those who interact with institutional data.

We will aim to:

  • Promote transparency in the collection, processing, and use of our institutional data
  • Involve affected parties in the development of data policy and use initiatives
  • Promote a culture of responsible use of data among all those who work with institutional data

 

The IDS receives guidance from the Institutional Data Strategy Steering Committee, the Reporting & Analytics Council, and the Data Governance Council. The IRDG office will be responsible for delivering and monitoring the strategic initiatives, in collaboration with other delivery partners and the broader data and analytics community through working groups.

Terms of Reference

  1. Develop and champion the data strategy of the University.
  2. Ensure data strategy initiatives are aligned with the University’s mission, objectives, and obligations.
  3. Recommend policies and guidelines for Governing Council approval.
  4. Appoint members of a Data Governance Council and approve terms of reference.
  5. Appoint members of a Reporting and Analytics Council and approve terms of reference.
  6. Provide oversight for the Data Governance Council and the Reporting and Analytics Council.
  7. Ensure cross-alignment across the R&A and DG Councils to support the design and implementation of the institutional data strategy.
  8. Develop plans for a “Roster of Expert Reviewers”, establish mandate and appoint members.

Members

MemberTitle
Cheryl Regehr (Chair)
Vice-President & Provost
Leah CowenVice-President Research & Innovation, and Strategic Initiatives
Kelly Hannah-MoffatVice-President People, Strategy, Equity & Culture
Scott MaburyVice-President Operations & Real Estate Partnerships
David PalmerVice-President, Advancement
Bo WandschneiderChief Information Officer
Larry AlfordChief Librarian
Trevor RodgersChief Financial Officer

Melanie WoodinDean, Faculty of Arts and Science
Chris YipDean, Faculty of Applied Science and Engineering
Wisdom TetteyVice-President and Principal, University of Toronto Scarborough
Alexandra GillespiePrincipal, University of Toronto Mississauga
Gretchen KerrDean, Faculty of Kinesiology and Physical Education
Trevor YoungDean, Temerty Faculty of Medicine

Term

For academic divisional members, term length will be 2-3 years and staggered to maintain continuity

Frequency of Meetings

The IDS Steering Committee will meet three times per year.

Meeting Documents

For members of the IDS Steering Committee, meeting documents can be accessed here.

Terms of Reference

  1. Promote the institutional data governance program goals to support the responsible use of high- quality institutional data.
  2. Collaborate with the R&A Council to oversee IDS initiatives and monitor evaluation plans.
  3. Engage with the Institutional Research and Data Governance (IRDG) office and working groups to gather requirements and/or recommendations for strategic initiatives.
  4. Review and provide guidance around recommended data governance processes, frameworks, and guidelines.
  5. Approve data domains and appoint data trustees.
  6. Act as a mediation panel to resolve complex data governance issues.
  7. Oversee standing committees and ad hoc working groups, as required.
  8. Provide regular updates to the Institutional Data Strategy Steering Committee.

Members

MemberTitle
Susan McCahan (Chair)Vice-Provost, Academic Programs and Vice Provost, Innovations in Undergraduate Education
Andrea Russell / Brian Desrosiers-Tam (acting)Director, Academic Affairs, Vice-President & Provost Office
Angelique SaweczkoUniversity Registrar
Lorraine FerrisAssociate Vice-President, Research Oversight and Compliance
Cherilyn NoblezaExecutive Director, HR Transformation & Analytics
Rafael EskenaziDirector, Freedom of Information and Protection of Privacy Office
Isaac StraleyChief Information Security Officer
Tys KlumpenhouwerUniversity Archivist
Sanish SamuelController & Director, Financial Services
Kiren HandaExecutive Director, Institutional Research and Data Governance
Normand LabrieInterim Dean, OISE
Nathan TabackSpecial Advisor to the Dean - Computational and Data Science, Faculty of Arts & Science
Anuar RodriguesExecutive Director of Strategy, University of Toronto Mississauga
Naureen NizamAssociate Registrar and Director of Systems & Operations, University of Toronto Scarborough
Fiorella FoscariniAssociate Professor and Director, Master of Information Program, Faculty of Information
Lee VernichDirector, Office of Research, Dalla Lana School of Public Health

Term

For academic divisional members, term length will be 2-3 years and staggered to maintain continuity.

Frequency of Meetings

The DG Council will meet 6-7 times per year.

Meeting Documents

For members of the DG Council, meeting documents can be accessed here.

Terms of Reference

  1. Promote and champion the use of institutional data to advance the goals of the University.
  2. Collaborate with the DG Council to oversee IDS initiatives and monitor evaluation plans.
  3. Engage with the Institutional Research and Data Governance (IRDG) office and working groups to gather requirements and/or recommendations for strategic initiatives.
  4. Review and provide guidance around recommended analytics processes, frameworks, and guidelines.
  5. Approve priorities for institution-wide analytics projects (e.g., development of institutional data marts, dashboards, and advanced analytics solutions).
  6. Oversee standing committees (e.g., Data Access Committee) and ad hoc working groups, as required.
  7. Provide regular updates to the Institutional Data Strategy Steering Committee.

Members

MemberTitle
Dwayne Benjamin (Chair)Vice-Provost, Strategic Enrolment Management
Sinisa MarkovicAssistant University Registrar
Josh BarkerVice-Provost, Graduate Research & Education and Dean, School of Graduate Studies
Barbara FallonAssociate VP, Vice-President Research & Innovation
Clark MillerManager, Digital Workforce and Analytics
Jeff LennonAssistant Vice President, Planning & Budget
Humberto FerreiraDirector, Information Management, Advancement
Cathy EbertsDeputy CIO, EASI
Kiren HandaExecutive Director, Institutional Research and Data Governance
Jamie Stafford / Gillian Hamilton (acting)Vice-Dean, Academic Operations, Faculty of Arts and Science
Geoff WichertSenior Reporting and Budget Analyst, Faculty of Applied Science and Engineering
Jeevan KempsonDirector, Campus Planning & Analytics
Deborah BrownChief Administrative Officer, University of Toronto Mississauga
Mary LyneChief Administrative Officer, Rotman School of Management
Suzanne CadaretteAssociate Professor, Leslie Dan Faculty of Pharmacy

Term

For administrative and academic representative members, term length will be 2-3 years and staggered to maintain continuity.

Frequency of Meetings

The Reporting & Analytics Council will meet 6-7 times per year.

Meeting Documents

For members of the Reporting & Analytics Council, meeting documents can be accessed here.